Account Executive, Global Growth Sales, Publishing

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. On the Publishing Ad Sales team, we help our unique Publishing advertiser customers reach Amazon readers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. Our ad solutions—including sponsored ads, display, video, and audio ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. We start with the customer and work backwards in everything we do, including advertising. If you’re passionate about books, interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.This is a rare opportunity to join a single-threaded sales team within Amazon Ads focused exclusively on books advertising. This individual will play a strategic role in building the future of books advertising, acting as the direct link between our books advertising customers and our internal partner teams. This individual will own an account list comprised of a diverse mix of active advertisers including large book publishers, indie authors and ad agencies and will also be responsible for identifying and cultivating new business opportunities. In this role, you are expected to think and act both strategically and tactically for your customers, using your strong business acumen and experience selling digital advertising solutions to deliver results for your customers. You enjoy solving complex problems, work effectively with cross-functional teams and thrives in a fast-paced setting that is constantly evolving.Key job responsibilities- Deliver the highest level of sales and service to our clients to our Books advertising customers.- Deliver predictable revenue growth across a diverse book of business. Prospect, penetrate and create new relationships with clients and retain and grow revenue from existing advertisers.- Understand Amazon's full suite of display and search advertising tools to help build Book Publishers and Authors drive their business on and off Amazon.- Influence how decisions are made by leading with data, and are focused on understanding how Amazon's products and tools can help build relevant advertising solutions for our customers- Conduct phone/video and in-person meetings demonstrating subject matter expertise and a point of view on industry and/or specific advertising solutions, with deep knowledge of your customer’s vision and objectives. - Be a strategic leader who creates future value for Amazon with books advertisers, while delivering immediate results. - Utilize Sales CRM tools to track all pertinent account information and sales progress as well as provide timely and accurate revenue forecasts and maintain a clean sales pipeline.- Have a passion for and desire to learn about the Publishing industry and the competitive media environment.A day in the lifeGGS Publishing AEs manage a mix of books advertisers (publishers, Authors and agents). They are responsible for both growing and activating advertisers across our product suite. AEs partner closely with Ad Success teams, Campaign Creative Managers, Retail Seller/Vendor teams and product teams to deliver new or existing solutions. About the teamThe Publishing Ad Sales team is responsible for driving ad revenue from books advertisers by applying targeted growth strategies tailored to meet the distinct needs of our dual customer segments of book publishers and authors. Publishing AEs guide books advertisers toward sustainable full-funnel ad strategies, using both managed service and self-service buying models. BASIC QUALIFICATIONS- 3+ years of B2B sales experience- Experience with sales CRM tools such as Salesforce or similar software- Experience in account management and selling of digital media ...

Applied Scientist II, AWS AI Labs: Computer Vision

Join us in a historic endeavour to make Computer Vision accessible to the world with breakthrough research! The AWS AI Labs: Vision team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists develops the algorithms and models that have powered AWS computer vision services such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods active learning and semi-automated data annotation, large scale image and video recognition, face detection and recognition, document OCR and scene text recognition, document understanding, 3D scene and layout understanding, and localization and mapping. We are hiring for all our locations in the USA (Seattle, Pasadena, Bay Area) and Israel (Haifa and Tel Aviv). About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. About the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Applied Science Manager, Artificial General Intelligence

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems.Key job responsibilitiesAs an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision.About the teamThe AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- 5+ years of scientists or machine learning engineers management experience- Experience building machine learning models or developing algorithms for business application- PhD, or Master's degree and 5+ years of applied research experience ...

Benefits Manager, Medical Plans, Benefits Experience and Technology (BXT)

The Amazon Global Benefits team is seeking a Benefits Manager (Benefits Specialist III) to help shape and execute our next gen vision for medical plan carrier benefits and other health plan needs as assigned. This role will raise the bar on the end-to-end experience for Amazonians as they discover, enroll, and use health plan benefits to optimize health. The candidate will be accountable for managing plan performance and innovating on new approaches to health plan benefits that maximize value for members and Amazon. Amazon offers medical health insurance options to eligible employees starting on day one, that are customer obsessed and innovative. The ideal candidate must be able to work collaboratively with internal and external partners. You will work in a dynamic, ambiguous and fast-paced environment with a team focused on medical benefit strategy, design, and delivery. This role is based in Seattle, WA (HQ1). Periodic domestic business travel is required. Key job responsibilities- Owner of end to end vendor management that drives solutions and results based on industry experience, alignment on internal goals with stakeholders and expertise in regulatory compliance. Proactively identify areas for improvement in vendor processes and implement best practices to enhance overall vendor performance and value delivery- Conduct in-depth and regular medical plan (and other health plans as assigned) analysis of spend and partner with the clinical, business and science teams to identifying potential savings opportunities and efficiencies- Translate voice of customer data into strategic program management recommendations to enhance member experience - Apply deep industry knowledge to write white paper proposals and recommendations to enhance program performance. Candidate will influence and communicate across multiple internal and external teams- Work collaboratively with vendor partners, and internal cross functional teams to build and implement medical plan benefit design and process improvements at scale- Develop efficient workflows for internal and external technical teams to build new health plan solutions and cross-vendor integrations - Manage multiple concurrent projects - Monitor, document, analyze and resolve member escalations - Be the medical plan SME and own the coordination of medical procurement, finance, communications, contracting and compliance - Manage appeals/exception/escalation process and documents all decisions- Develop proposals and summary documents for senior leaders BASIC QUALIFICATIONS- 5+ years of experience leading strategic and operational medical program management in national employer health plan, at a health insurance organization, or as a healthcare benefit consultant - Bachelor’s degree or higher in healthcare, business, HR or related field or equivalent experience. ...

Applied Scientist, Amazon Health, Amazon

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

AWS Software Development Manager, Infrastructure Foundational Services

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.What we do:The Infrastructure Foundational Services team builds services and tools that manage devices such as hosts, power shelves, and others in Amazon. As an infrastructure services provider, we own the services and tools that Amazon uses to turn hardware into capacity that service teams across Amazon run their business on. What we do matters; every customer who uses Amazon's products is supported by the computing infrastructure we provide and we provide a way for customers to get the capacity they need and for the business team to responsibly manage growth and cost. Our products are used by internal software teams, we focus on minimizing the operational burden that other engineers experience when managing their infrastructure.What you will do: You will lead a team of talented engineers continue to enhance their services, adding more capability, reducing operational costs, and improve our customer's experience. Your top priority is to ensure you are developing a great organization, raising the bar on our software development practices and the customer experience using our tools. You will coordinate with other managers on the team to deliver tools that work seamlessly across the various disciplines in AWS.Why we need youAmazon and Amazon Web Services are growing at an incredible rate, inventing new technology to improve the life of our customers. At this scale we are constantly stretching the elasticity of the the cloud. Our mission to help make it easy for internal software teams to grow while working with other infrastructure and AWS teams to meet these needs. You will lead a team of talented engineers to deliver this end to end workflow and collaborate with your customers - including other developers, business partners, and finance teams. You will work with other engineers who have a passion for learning new technology and making your customer's lives better.We want your passion for making an end-to-end product. While we are doing a lot of automation here, you will be asked to solve problems at every layer of the stack. You will share your experiences with an organization that is eager to learn.Why you’ll love it: You’ll see all aspects of the Amazon business, from our Retail websites to our digital products to the inner workings of Amazon Web Services. You’ll work with massive data sets. You’ll improve the agility of our technical teams. You’ll be part of a growing, fast paced, and fun team. You’ll have ownership, not just responsibility; and you’ll define and execute processes to deliver both savings and productivity for AWS and Amazon.Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Amazon Web Services (AWS) is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

Account Manager II, Amazon Global Logistics

Are you passionate about driving growth and solving real-world logistics challenges? Join our team as an Account Manager II for Amazon Global Logistics, where you'll play a crucial role in expanding our Multi-Channel Distribution (MCD) product. You'll leverage your sales acumen and data-driven approach to identify new opportunities, streamline inefficiencies, and provide exceptional logistics support for our sellers.Key job responsibilities- Recruit and manage a diverse portfolio of Fulfilled by Amazon (FBA) sellers for MCD- Consult with sellers to understand their supply chain needs through solutions-based selling- Develop and execute pipeline management plans to meet or exceed sales targets- Gather and synthesize customer feedback to drive product improvements and innovation- Collaborate with cross-functional teams to align product strategy with business objectivesA day in the lifeAs an Account Manager II, you'll start your day by reviewing your seller portfolio and identifying key opportunities for growth. You'll engage in consultative conversations with sellers, understanding their unique challenges and proposing tailored MCD solutions. Throughout the day, you'll analyze data to inform your strategy, collaborate with the product team on improvements, and prepare for sales review meetings. Your role will be dynamic, requiring you to balance relationship management, strategic thinking, and operational execution.About the teamOur U.S. Account Management Team within Global Logistics is dedicated to scaling our global supply chain program for FBA sellers. Formed in 2020, we work closely with sellers to provide onboarding support, operational insights, and guidance on new and existing logistics products and services. Our mission is to help organizations lower total storage and distribution costs while staying in-stock across channels to increase sales. We're committed to delivering a logistics experience that sellers love and driving continuous innovation in the field.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of experience in sales, account management, or customer-facing roles- 3+ years of program or project management experience.- Proven track record of meeting or exceeding sales targets- Experience with CRM systems and data analysis tools- Strong proficiency in Microsoft Office Suite, particularly Excel ...

Business Analyst II, Paragon Case Management, Data Insights and Associate Experience

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the CMS insights and experience. Build mind share “CMS Insights Suite” of pre-built dashboards that support tenants covering both retrospective and reactive reporting use cases including command center view. The suite will contain data dictionary of available metrics, dashboards and data catalog around routing, case/issue handling and workforce management themes. Launch the capability to tenants providing initial metrics coverage of 80% and ability to customize around routing and case handling sections.The Business Analyst will collaborate with Paragon Product team to build a metrics to measure Paragon experience. You will own the design, creation, and management of metrics, associated dashboards and datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions using statistical techniques or regression models to generate insights from the structured/unstructured datasets.A successful candidate will be highly analytical, an expert with SQL and excel, seek opportunities to inject advanced analytical techniques, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.Key job responsibilities• Leading complex data analysis projects to identify opportunities for improvement and optimization• Gathering and interpreting data from various sources to inform decision making• Developing and implementing solutions to optimize business performance• Creating data visualizations to communicate findings and monitor performance• Communicating findings and recommendations to senior management through presentations and reports• Mentoring and guiding junior team members in data analysis and process improvement methodologies• Assisting in the development and execution of strategic initiatives, metrics and contribution in analytical roadmaps.BASIC QUALIFICATIONS- 4+ years of business analyst, data analyst or similar role experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Strong analytical skills, with the ability to gather, interpret, and make insights from large amounts of data- Expert in SQL and data analysis- Experience with data visualization tools such as QuickSight or Tableau- Experience with statistical techniques, prepost analysis- Excellent communication and presentation skills, with the ability to convey complex information to a non-technical audience ...

Business Analyst, Selling Partner Experience

Amazon is seeking an experienced Business Analyst to join our Selling Partner Experience (SPX) Finance team. In this pivotal role, you will serve as a critical contributor focused on driving financial planning, forecasting, and reporting to ensure visibility into the performance of our growing programs.The ideal candidate will have a proven track record of using advanced data analysis and SQL skills to provide strategic decision support. You will work closely with leadership to offer guidance, oversight, and support in this exciting and evolving space.As the Selling Partner business has rapidly expanded worldwide, we need to scale our financial planning and reporting models. In this role, you will focus on building and enhancing critical financial models, uncovering key insights, and communicating your findings to key stakeholders.In addition to your core analytical abilities, you will also contribute to the development of policies, processes, and tools to address Seller-facing challenges in collaboration with cross-functional teams. This position requires a critical thinker with strong organizational, problem-solving, and communication skills.At the heart of this role is a passion for using data to discover and solve real-world problems. You will have the opportunity to work in a fast-paced, ambiguous environment and directly influence the success of our Selling Partner Experience.Key job responsibilities- Build and maintain recurring metrics and reports.- Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems.- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.- Oversee financial reporting for your business area. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning. Use data to identify disruptive ideas and provide advice to business leaders across the globe. - Build financial model, sensitivity analysis and provide recommendations for new business initiatives.- Conduct impactful data analyses to identify opportunities, develop recommendations, and effectively communicate complex financial insights to drive critical business decisions through clear, concise, and tailored written and verbal presentations.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ years of business analyst, data analyst or similar role experience- Experience with SQL- Experience with Excel- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

2025 Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting

Revolutionize the Future of AI at the Frontier of Applied ScienceAre you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated..Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.- Explore the vast potential of generative AI and its applications across industries.- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learningBASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Large Language Models, NLP, Natural Language Understanding, Generative AI, Transformers, Fine-tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering ...

Amazon Postdoctoral Scientist , Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE)

Amazon is looking for a talented Postdoctoral Scientist to join our Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE) team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in decision optimization and causal inference.In this role, you will have the opportunity to:- Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.- Collaborate with cross-functional teams to develop and deploy production-ready solutions.- Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields. Key job responsibilitiesIn this role you will:• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the teamWe are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long term potential across the business. Our products are models, scalable services and actionable insights. We proactively identify and explore opportunities on behalf of our business partners.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in quantitative research and foundation models- Proficiency in technologies relevant to the subfield ...

Applied Scientist - Operations Research/Optimization, Cognitive Science Team

Are you excited about using decision (optimization) and data (ML) sciences to make multi-million dollar decisions more Data, Science and Analytics Driven? Are you interested in price optimization, promotion planning and what-if simulations to enable in-period promotion and long-term financial planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!The Amazon Devices & Services Demand Planning and Product Development (DEPD) team is seeking an outstanding scientist with strong analytical and communication skills to help with pricing optimization and promotion planning for the entire Amazon device family of products and services. Amazon Devices represents a highly complex space with 100+ products across several product categories that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices for sale both online and in offline retailers globally.We develop scalable and robust state-of-the-art deterministic and stochastic optimization models and algorithms, and what-if scenario planning simulation tools with (linear and dynamic) price optimization and promotion planning. With better price optimization and promotion planning, we manage demand and drive down promotion and supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers globally.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering and/or Simulation.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and HOTW decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.Key job responsibilities- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment- Collaborate with cross-functional teams including product management, marketing, and operations to translate model insights into actionable business strategies- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities - Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models - Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches- Create and track accuracy and performance metrics (both technical and business metrics)- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders- Drive best practices on the team; mentor and guide junior members to achieve their career growth potentialA day in the lifeOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamThe vision for Cognitive Science Team is to deliver science-enabled HOTW demand planning and shaping solutions for Devices Product Lines to support our partners’ decision making processes. We will accomplish our vision by (1) utilizing accelerated applied science with optimization, simulation, scenario planning, Machine Learning and Generative AI (in 2025), (2) performing rapid research & innovation, developing incremental products, and automating processes, (3) developing optimized price and promotion planning, (4) developing high confidence long-lead time marquee unit demand forecasts for Amazon Devices.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic ...

Amazon RDS Programmer Writer , Service Docs -DBAS

Are you a coder who loves to write? Do you want to have a profound impact on the future of Cloud Technology? The Technical Content Experience (TCX) team, also known as AWS Documentation, is looking for a programmer writer to support Amazon ElastiCache, a big-data platform for processing and moving massive amounts of data in the cloud. The documentation you write will help customers use Amazon Databases to build applications that surface insights from data for business intelligence and analytics using the latest open-source frameworks. You will need a technical background with experience writing technical documentation and using and writing code for Python, Scala, SQL, and CLI. You should also understand identity and access management concepts and have respect for security best practices. You should have a unique ability to think big and anticipate how customers will want to use AWS services together to deliver results.This is an opportunity to explain complex information concisely. The successful candidate will demonstrate a history of seamless interactions with software developers, technical product managers, developer advocates, customer representatives, and customers. This is a customer-obsessed, dynamic team of talented, geographically distributed, highly technical communicators. Join us on our journey to provide high-quality documentation and code examples to our customers.10027, 10028, 10030Key job responsibilities* Create and maintain technical content for customers that is accurate, discoverable, and well-organized.* Work with metrics and stakeholders to make improvements to service documentation and UX to continually improves customer experience.* Develop scripts, sample code, and technical procedures that are easy to use.* Produce multi-service code examples that reflect common customer journey and usage patterns.* Develop and formalize working relationships and processes to ensure code examples in guides are up to date, run as expected, and have unit tests.* Develop and lead initiatives on the Code Examples team to improve code example delivery and publication mechanisms.* Provide thorough and insightful peer code reviews.* Mentor junior team members in team tools and processes, and provide guidance in how to create and publish code examples.* Implement effi ciencies that increase team output.* Anticipate customer needs and be the "fi rst customer".* Dive deep to become a subject-matter expert in your area of ownership.* Impact product CX, UX design, roadmap priorities, and engineering team goals.A day in the lifeOur team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to off er a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.About the teamThe AWS Documentation team writes and provides support for diverse technical audiences, like developers, DevOps professionals, IT professionals, and technical program managers. On behalf of our customers, we innovate, research, learn, and experiment. We collaborate with product managers to understand our customers’ needs and partner with software developers to learn about the inner workings of AWS services so we can influence product design and the customer experience with the product. We make a difference to our customers. We work and train together and are always learning from one another. We celebrate and support the career progression of our team members.BASIC QUALIFICATIONS* Degree or certification in a relevant technical fi eld or equivalent experience* A minimum of 5 years in a technical writing or programming role with high-quality written work artifacts* Proven experience designing and delivering developer-oriented documentation* Experience with or understanding of cloud computing, including cloud storage technologies* Experience with open-source libraries* Experience with API documentation* Experience working directly with software engineering and development teams* Strong written and verbal communication skills* Passion for learning new tools, programming languages, and techniques* Passion to thrive in a fast-paced, ever-changing environment* A proactive and open-minded attitude to resolving problems and delivering results ...

Applied Scientist III, US Prime and Marketing Tech

Are you excited to work on cutting edge product-driven generative AI solutions to help customers discover the hottest and best reviewed products? The Discovery Tech team helps customers discover and engage with new customer experience with popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside cutting edge tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation. As an Applied Scientist III, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. To know more about Amazon science, please visit https://www.amazon.scienceBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Applied Science Manager, Amazon

We are seeking an Applied Science manager to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.Key job responsibilitiesAs the manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead teams of scientists and engineers to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable AI solutions that support flexible UI frameworks. You will solve hard problems, advance science at Amazon, and be the leading innovator in e-commerce. In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team’s work is visible to millions of customers.BASIC QUALIFICATIONS- ·Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, and reinforcement learning.- 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications- 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java- Excellent written and verbal communication skills ...

Applied Scientist III, Sponsored Products, Amazon

Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We optimize product placements using a combination of machine learning and natural language processing (NLP) algorithms operating in low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.As an Applied Scientist III, you will take ownership of the technical roadmap and delivery of real-time, scalable machine learning models influencing ad selection, relevance and ranking models. You will work with other Applied Scientists and Machine Learning Engineers to experiment and innovate quickly with a diverse set of models, features and techniques in a high-volume, low-latency environment. Our workflows scan billions of documents, with milliseconds of latency budget while ensuring high relevance of retrieved items. So the level of quality and reliability is critically important.As a Applied Scientist III on this team, you will: - Build machine learning models that can scale to our run-time requirements. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Help recruit and mentor other Applied Scientists on the team.About the teamThe Sponsored Product search entitiy sourcing delivery team helps deliver billions of ad impressions and millions daily clicks daily. Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the customer experience. We’re a talented team of scientists and engineers working on complex and ambiguous problems, and we have an engineering-driven culture that influences business outcomes.BASIC QUALIFICATIONS- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Business Analyst II, Global Product Verification

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is seeking a Business Analyst to drive large scale projects, programs, and technical initiatives. In this role, you will be responsible for converting data into actionable business insights. The ideal candidate is an analysis expert who leverages a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge, and ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods.The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that will help shape the future of the business. Key job responsibilities- Own the development and maintenance of new and existing solution artifacts which are focused on driving efficiency within the business via analysis, metrics, and reporting dashboards.- Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.- Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.- Participate in strategic and tactical planning discussions.- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.A day in the lifeAs a Business Analyst, you will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.About the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Business Analyst I, SPS Finance Analytics

At Amazon, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build a place to find and buy anything online, this is your chance to work hard, have fun, and make history. We are looking for an experienced Business Analyst to join SPS Finance Analytics team to help unlock insights which take our business to next level. The team is responsible for controllership, building scalable solutions and supporting program analytics. As a Business Analyst, you will have excellent analytical abilities as well as an outstanding business acumen. The ideal candidate knows and loves our customers (internal and external) and will work back from the customer to create actionable insights and reporting. They are experts in partnering and earning trust with finance/business leaders to drive these key business decisions. Key Responsibilities include: - Own the development and maintenance of new and existing solution artifacts which are focused on driving efficiency within the business via analysis, metrics, and reporting dashboards. - Partner with finance/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs. - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will help translate analytics insights into concrete, actionable recommendations for business or product improvement. - Excellent writing skills, to create artifacts easily digestible by business and tech partners. BASIC QUALIFICATIONS- 2+ years of tax, finance or a related analytical field experience- 2+ years of complex Excel VBA macros writing experience- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETL- Bachelor's degree or equivalent ...

Applied Scientist, Worldwide Returns & Recommerce - Science

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities* Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.* Use SQL to query and analyze the data.* Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. * Use machine learning and analytical techniques to create scalable solutions for business problems.* Research and implement novel machine learning and statistical approaches.* Mentor interns.* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock About the teamWhen a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.BASIC QUALIFICATIONS- 2+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience with popular deep learning frameworks such as MxNet and Tensor Flow ...

Applied Scientist - Motion Planning & Control, Amazon Robotics

Do you want to create intelligent, adaptable robots with global impact? At Amazon Robotics, our collaborative team builds high-performance, real-time robotic systems that perceive, plan, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently through the complex challenges of a company that sells everything, everywhere. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large-scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We are seeking an Applied Scientist to join our Motion Planning and Control team creating a fleet of manipulation robots at scale. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments. Your contributions will drive the development and scaling of advanced robotic systems capable of handling complex, dynamic environments and transforming how robots interact with the world around them.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables robotics to significantly impact the lives of millions of consumers.Key job responsibilities- Research, design, implement and evaluate complex motion planning and control algorithms that improve the performance of systems deployed in real-world conditions.- Make development, deployment, and understanding the our robots' behaviors and performance faster and more intuitive for ourselves and our customers.- Work closely with software engineers to drive scalable, real-time implementations.- Collaborate with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.- Represent Amazon in academia community through publications and scientific presentations.- Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Relevant industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, control and developing robotic systems. ...