WA

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 ...

Amazon’s XCM (Cross Channel & Cross Category Marketing) organization is looking for a Marketing Manager to lead audience and media strategy, planning, and execution in the US and CA across Prime mass marketing campaigns for events (like Prime Day). We are looking for a candidate with a passion for building exceptional customer experiences to create and drive media and audience segmentation strategy across investments.You will lead cross-channel media strategy for priority audiences and define the investment levels across channels based on business objectives, audience indices, channel best practices, measurement data and reach & frequency guardrails. You will bring a data-driven mindset to determining the optimal channel mix for audiences and business strategies, managing both media agencies and internal partners, to achieve our goals. You will work closely with campaign managers, marketing stakeholders, audience analysts, measurement partners, data science leaders, category leaders, creative and content teams and our internal media team to establish and implement media best practices, develop and target audience segments, create rigorous analytical processes, and produce cost-effective campaigns. The ideal candidate is a tenured marketer who is highly collaborative, but self-driven with strong bias for action and an ability to deliver on ambiguous projects in a highly matrixed environment. You will be a strategic thinker focused on business goals with strong expertise in cross-channel media strategy. While this specific role is more focused on digital and social media strategy, expertise in a broader list of channels, including TV, CTV/POLV, OOH, Radio, etc. is strongly preferred. This role requires an entrepreneur mentality to help develop and enhance audience strategy, processes and products, as well as analytic processes and innovations for advanced audience analytics. You will be resourceful and find creative solutions to complex technical and business challenges.This role will report into the Head of Media for XCM, and will be an individual contributor at this time.Key job responsibilities- Lead cross-channel media strategy and planning, advising leadership on the reasoning behind decisions- Drive real-time campaign optimizations based on key KPIs and compile regular reporting from multiple sources to stakeholders, including leadership- Manage budget and investment decisions across all media channels leveraged against your business line- Align audience profiles/segmentation with appropriate investment strategy in partnership with planning and activation teams- Ability to navigate a highly matrixed organization and represent team with integrity and self-sufficiency- Partner with other Amazon media managers to leverage overall investment decisions and insights across the team in the most audience-driven expression possible- Contribute insights to advertising portfolio strategy and investment modelsBASIC QUALIFICATIONS- 6+ years relevant professional experience in marketing, communications, audience strategy and media- In-depth knowledge of cross-channel media strategy and experience leading complex business at an agency or or in-house with a large advertiser- Clear understanding of media principles, planning and buying functions in the US- Experience building and optimizing multiple, simultaneous marketing campaigns- Experience using industry media planning such as Nielsen, Kantar, Comscore, etc.- Strong speaking and written professional communication skills- Experience using data and metrics to drive improvements- Experience managing or working within cross-functional marketing and creative teams- Self-motivated and comfortable working independently with minimal supervision- The ability to thrive in a fast-paced and deadline-driven environment ...

Amazon Web Services (AWS) seeks a Senior Finance Analyst to join the Central FP&A team. The successful candidate will provide cross functional leadership across multiple teams and initiatives, and drive the overall Capex reporting for GenAI. This role will drive strategic initiatives to improve the quality and timelines of business insights provided to AWS and Amazon leadership, including ongoing efforts around existing process improvements. We are looking for a consummate Finance leader who can thrive in a fast-paced, highly ambiguous environment, and who exercises high standards and good judgment. The successful candidate has strong leadership skills and business acumen and is comfortable at influencing stakeholders at all levels of the organization.Key job responsibilities • Liaise across the AWS finance community to drive core financial processes including annual operating plans, monthly/quarterly business reviews and assessment of risks/opportunities, and month-end close.• Collaborate with teams to simplify, standardize, and automate Capex reporting processes and analytics.• Communicate financial metrics and business drivers to AWS and Amazon teams.• Enhance the existing legal entity forecasting process in cooperation with Treasury• Ensure compliance with finance and accounting controls and systems.• Lead and manage special projects, working cross-functionally with various AWS finance and business teams.• Foster constructive and proactive communication across organizational boundaries.About the teamThis role is part of the AWS Central FP&A team. We support AWS leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of AWS.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 4+ years of Accounts Receivable or Account Payable experience- 4+ years of applying key financial performance indicators (KPIs) to analyses experience- 4+ years of creating process improvements with automation and analysis experience- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience- Six Sigma Black Belt- Experience with advanced use of SQL for data mining and business intelligence- Experience as a lean sensei, or experience working as a Quality Assurance Engineer ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences leveraging the latest advances in generative AI, and Amazon’s tremendous computational resources. What do you get? An unparalleled opportunity to deliver transformational experiences that impact customers everyday lives.Are you passionate about working on disruptive ideas? Are you obsessed with finding and building the most innovative and customer-friendly user experiences? Have you built and launched new experiences that impact shoppers all around the world? This is a unique full-stack opportunity that combines the ability to build exciting, new user experiences for Amazon's customers with the opportunity to work with Generative AI and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon customers.Key job responsibilitiesAs an Applied Scientist in the Amazon Profiles team in Personalization, your work delivers transformational, AI-powered end-to-end experiences to seek to understand each customer uniquely and deeply. You will use the latest ML and generative AI-powered methods to power new personalized experiences. Amazon Profiles represents a highly-visible charter, with exposure and sponsorship at the S-Team level. We leverage our understanding of each customer to personalize the moments that matter along the Shopping journey, while making it easy for customers to tell us when we get it wrong. We leverage generative AI to use this deep customer insight to help our customers more confidently navigate their shopping journey. We partner closely with teams across Amazon to deliver a unified and cohesive experiences. Come join us as we transform Amazon into a deeply personal and relevant store!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 ...

The Private Brands Discovery team designs innovative machine learning solutions to enhance customer awareness of Amazon’s own brands and help customers find products they love. This interdisciplinary team of scientists and engineers incubates and develops disruptive solutions using cutting-edge technology to tackle some of the most challenging scientific problems at Amazon. To achieve this, the team utilizes methods from Natural Language Processing, deep learning, large language models (LLMs), multi-armed bandits, reinforcement learning, Bayesian optimization, causal and statistical inference, and econometrics to drive discovery throughout the customer journey. Our solutions are crucial to the success of Amazon’s private brands and serve as a model for discovery solutions across the company.This role presents a high-visibility opportunity for someone eager to make a business impact, delve into large-scale problems, drive measurable actions, and collaborate closely with scientists and engineers. As a team lead, you will be responsible for developing and coaching talent, guiding the team in designing and developing cutting-edge models, and working with business, marketing, and software teams to address key challenges. These challenges include building and improving models for sourcing, relevance, and CTR/CVR estimation, deploying reinforcement learning methods in production etc.In this role, you will be a technical leader in applied science research with substantial scope, impact, and visibility. A successful team lead will be an analytical problem solver who enjoys exploring data, leading problem-solving efforts, guiding the development of new frameworks, and engaging in investigations and algorithm development. You should be capable of effectively interfacing between technical teams and business stakeholders, pushing the boundaries of what is scientifically possible, and maintaining a sharp focus on measurable customer and business impact. Additionally, you will mentor and guide scientists to enhance the team's talent and expand the impact of your work.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Expert in developing large-scale ML systems in a production environment- Extensive experience applying theoretical models in an applied environment- Demonstrated proficiency in deep learning models, experience building production level causal inference models- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience.- Experience coaching and reviewing work of junior ML Scientists, making great hiring decisions. ...

As we continue to expand our ability to provide extraordinary, human-centered primary care services across the country, the teams that support the providers and frontline teams are growing as well. We are seeking to hire an Access & Capacity Planning Manager responsible for partnering with operational and clinical leaders to ensure our members receive best-in-class access to care across all of our markets and service lines. Reporting to the Senior Manager of Strategic Operations, you will build and automate capacity plans that support our teams through rapid growth and change. Specifically, you will drive projects that address patient access, capacity planning, strategic forecasting, and workforce planning. You are an analytical problem-solver with an eye for detail, who can also effectively communicate how those details fit into the bigger picture to team members across the organization. Driven by continuous improvement, you love identifying creative solutions to complex problems, and have demonstrated persistence in accomplishing objectives regardless of circumstance. Experience integrating quantitative and qualitative information to draw accurate solutions will be important to your success. Naturally at ease with cross-functional partners, you are able to work collaboratively across multiple teams, and are comfortable with shifting priorities, styles, and work environments in an exciting, evolving role. If you are passionate about solving problems related to access and capacity planning, have stellar project and program management skills, and want to make a tangible impact on how we deliver care to our patients, we would love to hear from you!Key job responsibilitiesManage Nationwide Clinic Capacity- Develop and manage operational capacity models for short and mid-term planning. Create plans and tools to enable operations to identify and manage dependencies and risks. Seek opportunities to evolve toward automation.- Empower senior operations leaders to make informed decisions about their workforce, capacity, deployment, hiring and schedule design to accurately support patient demand.- Drive and Monitor Cost of Care Initiatives while partnering and aligning with Financial Planning. - Develop tools to track initiatives, dependencies and mitigation plans to increase capacity, demand and decrease cost of care.Manage Access SLAs- Support local leaders in optimizing staffing plans and deployment to meet service line standards (SLAs), panel management models and patient demand- Drive operational strategies, including pilots, utilize experimentation as necessaryIdentify & Drive Demand Opportunities- Support long-term growth by collaborating with corporate, clinical and tech teams, prioritizing and driving thought leadership around Access.- Develop demand forecasting model in coordination with growth, financial and data science teamsProduct Innovation- Hands on work with data scientists and analysts to automate capacity and demand planning and forecasting models.- Identity opportunities to integrate and automate features of demand and capacity processes into core systems.BASIC QUALIFICATIONS- 5+ years of direct experience in quantitative research or analysis- 3+ years in workforce planning, capacity management, supply chain or related fields- 3+ years in program & project management- 3+ years building forecasting and/or planning models in excel or other more advanced tools- Background in mathematics, statistics, computer science, engineering, economics, operations research or related field- Working fluency in SQL- Familiarity with other scientific and scripting - languages such as Python or R and familiarity with technical systems to deploy production models- Experience translating key performance indicators and recommendations to senior leaders- Strong commitment to exceptional customer experience, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team and cross-functional environment ...

Are you excited about using decision (optimization), data (ML) and automation (AI) sciences to make multi-million dollar decisions more Data, Science, Analytics and Smart Technology Driven? Are you interested in price optimization, promotion planning and what-if simulations for to enable multi-scenario based 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 Science Optimization 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. We also build HOTW recommendation and decisions systems to deliver these results for our internal customers decision making processes. 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, Simulation, Recommendation Systems and Decision Making Systems.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 ...

Are you passionate about AI for recommendation systems? Do you want to influence the content that customers see at Amazon.com? Our recommendation services team designs and implements scalable machine learning solutions to personalize and optimize customer experience across Amazon retail pages. We are currently expanding in New York, and are looking for an applied scientist to join us in this exciting journey. As an Applied Scientist, you will: - Push the boundaries of real-world ranking, recommendation, and optimization systems - Support science, engineering and product development on a scale only seen at Amazon. - Champion and define best practices to maximize learnings while mentoring more junior scientists and engineers. - Obsess over customer needs and satisfaction. - Create intellectual property, influence others while demonstrating significant creativity and being vocally self-critical. - Shape product definitions and objective and surface signals on how these objectives meet long term customer needs. - Translate metrics & signals into actionable plans to calibrate individual components. - Operate hands-on and as an implementor of algorithms and models delivered to production systems. - Help define customer focused research initiatives.Please visit https://www.amazon.science for more information. 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 ...

Interested in helping build Prime's content and offer experimentation system to drive huge business impact on millions of customers? Join our team of Scientists and Engineers developing algorithms to adaptively generate and experiment on new content, personalize, and optimize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML lead, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.There are numerous scientific and technical challenges you will get to tackle in this role, such as adaptive experimentation, structured multi-armed bandits and its application to various types of experimentation and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from LLM's, Gen AI, deep learning, multi-armed bandits, optimization, and RL.As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning, LLM's), and statistical modeling techniques.Major responsibilities - Build and develop machine learning models and supporting infrastructure at TB scale, in coordination with software engineering teams. - Leverage Bandits and Reinforcement Learning for Experimentation and Optimization Systems. - Develop offline policy estimation tools and integrate with reporting systems. - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes. - Work closely with the business to understand their problem space, identify the opportunities and formulate the problems. - Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems. - Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems. 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 ...

Amazon’s growing Canada Marketplace Sales team is looking for a Sales Account Representative to drive success and growth within key Amazon business groups. This role is for candidates who are passionate about selling, and helping small and medium business grow. The ideal candidate has a history of achieving goals and exceeding deliverables. Successful hires are strong analytical thinkers and problem solvers who thrive in fast-paced dynamic environments. They are strong communicators, effective listeners and project managers who are able to balance multiple and often conflicting priorities. The ability to manage a valuable prospect list is vital; candidates must be comfortable prospecting, cold-calling, and negotiating via phone on both transactional and strategic branding-based deals. This is an exciting opportunity to learn about our solutions and how these drive the overall Amazon business.BASIC QUALIFICATIONS- BA/BS degree or equivalent experience with equivalent being- 2 years of sales experience- Experience meeting sales targets using a solutions-focused approach. ...

Our mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We develop cutting-edge Large Language Models (LLMs) that leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.We seek a talented Applied Scientist with expertise in LLMs, speech, audio, NLP, or multimodal learning to pioneer innovations in data simulation, representation, model pre-training/fine-tuning, generation, reasoning, retrieval, and evaluation. The ideal candidate will build scalable solutions for a variety of applications, such as streaming real-time conversational experiences, including multilingual support, talking avatar interactions, customizable personalities, and conversational turn-taking. With a passion for pushing boundaries and rapid experimentation, you'll deliver high-impact solutions from research to customer-facing products and services.Key job responsibilitiesAs an Applied Scientist, you'll leverage your expertise to research novel algorithms and modeling techniques to develop data simulation approaches mimicking real-world interactions with a focus on the speech modality. You'll acquire and curate large, diverse datasets while ensuring privacy, creating robust evaluation metrics and test sets to comprehensively assess LLM performance. Integrating human-in-the-loop feedback, you'll iterate on data selection, sampling, and enhancement techniques to improve the core model performance. Your innovations in data representation, model pre-training/fine-tuning on simulated and real-world datasets, and responsible AI practices will directly impact customers through new AI products and services.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 ...

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 ...

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.The Anti-DDoS team is the frontline defense for all DDoS threats world-wide, against all Amazon & AWS customers and services. Our architecture must be highly scalable, performant, and continually evolve against threats as they emerge. The Anti-DDoS team is looking for software engineers to solve incredibly challenging low-level networking problems, deliver new capabilities, and continue to scale our platform to meet the increasing needs of our customers world-wide. The ideal candidate has strong technical background in computer networking and programming experience in Java, C, C++. Knowledge of DPDK is a definite plus! Candidates who enjoy computer networking, deep packet analysis, low-level, performance sensitive, systems programming and have deep analytical skills and excellent communication skills will find the Anti-DDoS team to be inline with their interests and desire for challenge. You must be able to highly collaborate, be creative, analytical and thrive in fast-paced environments, all while interacting with highly technical software and networking development teams.About the team*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.*Diverse Experiences*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.*Work/Life Balance*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.*Inclusive Team Culture*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.*Mentorship and Career Growth*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.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.An Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a leader with strong technical expertise and a passion for developing science-driven solutions in a fast-paced environment. The ideal candidate will have a solid understanding of state of the art NLP, Generative AI, LLM fine-tuning, alignment, prompt engineering, benchmarking solutions, or CV and Multi-modal models, e.g., Vision Language Models (VLM), zero-shot, few-shot, and semi-supervised learning paradigms, with the ability to apply these technologies to diverse business challenges. You will leverage your deep technical knowledge, a strong foundation in machine learning and AI, and hands-on experience in building large-scale distributed systems to deliver reliable, scalable, and high-performance products. In addition to your technical expertise, you must have excellent communication skills and the ability to influence and collaborate effectively with key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.Key job responsibilitiesYou'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupAbout the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.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 ...

Work Address: 2131 7th Ave, Seattle, WA, 98121  Pay Rate: $20.50 per hour Availability Requirements: Part-time: Shift availability required 3 weekdays and 1 weekend day per weekShifts are between 5 a.m. and 11 p.m. and may be up to 8 hours long  ...

Unleash Your Potential as an AI TrailblazerAt Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. 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 Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender SystemsIn this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.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- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI communityBASIC 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: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages ...

AWS Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud services, Internet of things (IoT), identity and access management, mobile devices, virtualization and custom hardware, all operating at massive scale. Similarly, our highly collaborative team is committed to each team member’s growth as our business grows.AWS Security is looking for an Application Security Engineer to help validate that our services, applications, and websites are designed and implemented to the highest security standards. You will be responsible for analyzing the security of applications and services, discovering and addressing security issues, building security automation, and quickly reacting to new threat scenarios. You will have the opportunity to learn from, and be mentored by, those who are building and securing our cutting-edge services.An Application Security Engineer at Amazon is expected to be strong in multiple domains and provide significant contributions to the AWS IT Security team and to multiple groups throughout Amazon. Security engineers are expected to develop elegant solutions to complex business problems and apply appropriate technologies while following security engineering best practices. You are also expected to mentor more junior engineers and be a security thought leader for the organization. An Application Security Engineer must foster constructive dialogue and seek resolution when confronted with discordant views. Engineers in this role are expected to participate fully in the planning of the AWS Security team's work and constantly seek opportunities for process improvement. They should also have a deep understanding of at least one specialty for which they are a sought out resource (both within AWS Security and by groups throughout Amazon), while having an understanding of the application of Information Security in a broad range of technical areas.Key job responsibilities- Application security reviews (includes architecture reviews, threat modeling, code reviews and security testing)- Mobile security reviews- Projects and research work as needed- Security training and outreach to internal development teams- Security guidance and documentation- Security workflow automation- Security metrics delivery and process improvements- Assistance with recruiting activities and administrative workAbout the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the 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 Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- BS in Computer Science or related field, or equivalent work experience.- Minimum of 4 years of experience with security engineering (architecture reviews, threat modeling, secure coding etc.), system and network security, authentication and security protocols, cryptography or application security.- Familiarity with common attack patterns and exploitation techniques for web & mobile applications and IoT devices.- Knowledge of commonly found software security vulnerabilities (like OWASP top 10) and remediation techniques.- Knowledge of basic networking and network security related concepts (TCP/UDP, Firewalls/Switches, Wi-Fi security, TLS, etc.) ...

Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale Computer Vision / ML systems for robotics in fulfillment centers. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop CVML experts in robotics with a focus on deep learning, foundation models, generative models, intelligent control, semi-supervised and unsupervised learning. 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 experienced Computer Vision ML Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced vision, machine learning and optimization algorithms. You will drive CVML innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. 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 computer vision to significantly impact the lives of millions of consumers.Key job responsibilities* As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at amazon robotics.* You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.* You will keep your technical skills current to contribute to architecture and design discussions.* You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.* Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.A day in the life- Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications. - Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems.- Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts.- Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.Amazon 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 industry or academic research experience- 6+ years of applied research experience- 3+ years of scientists or machine learning engineers management experience- Experience building machine learning models or developing algorithms for business application- Experience programming in Java, C++, Python or related language- 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- Strong understanding of computer vision and machine learning (classical, deep neural networks and foundation models) ...

This is not a corporate, remote or office-based position. This is a full-time, entry level position located within one of Amazon’s fulfillment centers, sort centers, delivery stations or other operations buildings. Amazon is seeking customer focused individuals to lead a team of hourly employees across our cutting-edge Operations network! Our warehouses are fast-paced environments where standing, walking, and having on-the-production floor conversations are common as a supply chain leader.As an Area Manager, you will be responsible for engaging, leading and developing your team in a warehouse environment. Your main focus will be motivating, mentoring, and managing your team to meet goals. Amazon provides extensive training and development to become an exceptional people leader. As a people manager, you will ensure that your team has all the tools needed to succeed and maintain the highest levels of safety, quality, attendance and performance at work. The base pay for this position ranges from $61,100/year in our lowest geographic market up to $73,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Please see below for more information.Benefits: Medical, financial, and/or other benefits (www.amazon.jobs/en/benefits)Visit www.aboutamazon.com/workplace/facilities to find more information on each of our building types. Please note we are not able to provide sponsorship now or in the future for these positions. Eligible candidates must have work authorization without employer intervention to be considered.This posting encompasses all openings in the state(s) listed in title. Site placement is determined by aligning your location preferences with location availability after your interview. Relocation benefits are offered at time of offer to eligible candidates.Key job responsibilities• Support, mentor and motivate 50-100 direct report Amazon Associates• Work independently and operate in an autonomous environment• Stand/walk during shifts lasting up to 12 hours• Willing and able to regularly work shift patterns that include nights, weekends, and/or holidays based on business needs. While shifts vary site to site, most follow a fixed 4-day work week with 3 days off.• Oversee truck deliveries, handle and sort packages using pallet jacks, operate PIT equipment (at applicable facilities) and step in as needed.• Work in an environment where the noise level varies• Lift up to 49 pounds and frequently push, pull, squat, bend and reach• Climb and descend stairs (when applicable)BASIC QUALIFICATIONS• A bachelor’s or master’s degree with all requirements completed between May 2023 and August 2025. (You must have all degree requirements met before your first day). ...

Amazon’s Global Risk Management & Claims team is seeking a highly skilled and detail-oriented Business Analyst with a robust background in economic theory, auto claims management, and data analytics. The ideal candidate will possess an in-depth understanding of insurance claims processes, a keen interest in economic principles, and proficiency in dissecting complex datasets. As a Business Analyst, you will play a pivotal role in extracting valuable insights from claims data, employing economic theories to evaluate risk factors, utilizing data metrics to optimize our claims management processes, and providing strategic recommendations to key stakeholders.Key job responsibilitiesIn this role, the Business Analyst will partner with key stakeholders to dive deep into business challenges and loss trends, aiming to unearth crucial insights. The ideal candidate will cultivate partnerships across various business lines to gather business requirements, develop metrics and reporting, establish key performance indicators for third-party vendors, deliver actionable insights to mitigate financial and operational risks. This position demands an adaptable individual with exceptional analytical skills and outstanding business acumen. The ideal candidate is customer obsessed, both internally and externally, and will work back from the customer to meet business objectives.The Business Analyst is responsible for:- Partner with cross functional business teams to consult, develop and implement metrics, automated reporting/process solutions, and process improvements to meet business needs.- Apply economic theories and models to assess claims trends, evaluate risk factors, and predict future claim performance.- Conduct in-depth economic analyses to evaluate the financial impact of claims and recommend cost-effective strategies for claims resolution.- Utilize advanced data analytics techniques to evaluate large and complex claims datasets.- Generating actionable insights through the development of key performance metrics, dashboards and analytics.- Identify opportunities for process improvements and automation within the organization.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...