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Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree program between 12/2025 and 6/2026.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to complete 12-week internship between May – August 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazonundergradstudent.splashthat.com.Join Amazon's dynamic environment as a Supply Chain Manager Intern, where you will play a crucial role in shaping and optimizing various facets of our operations, concentrating on optimizing and managing the flow of goods, information, or services within the supply chain network. As a Supply Chain Manager Intern, you'll take end-to-end ownership of operations, emphasizing capacity planning, logistics optimization, network design, and analysis of operational efficiency.Job Responsibilities• Concentrate on optimizing and managing the flow of goods, information, or services within the supply chain network.• Balance supply and demand, assess and improve the efficiency of distribution networks, warehouses, or logistics operations.• Analyze and synthesize data to identify opportunities for enhancing customer experiences and operational efficiency in network capacity.• Collaborate with stakeholders across different functions, influencing and facilitating agreements to achieve shared network capacity goals.• Manage cross-functional network capacity initiatives, ensuring continuous improvement and adherence to lean philosophy at scale.• Identify and deliver operational improvement opportunities in network capacity, focusing on inventory management, logistics strategy, and transportation optimization.• Monitor and optimize key network capacity metrics to ensure the smooth flow of goods or services through the supply chain network.BASIC QUALIFICATIONS- Currently pursuing a Bachelor's degree in Supply Chain, Industrial Engineering or related field, with a graduation conferral date between December 2025 and June 2026- Knowledge of Excel (Pivot Tables, VLookUps) and SQL ...

Unlock the Future with Amazon Science!Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.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: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling 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 Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.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- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML techniques and best practices from both academia and industry.- Think about customers and how to improve the customer delivery experience.- Use and analytical techniques to create scalable solutions for business problems. BASIC 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: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling ...

Shape the Future of Visual IntelligenceAre you passionate about pushing the boundaries of computer vision and shaping the future of visual intelligence? Join Amazon and embark on an exciting journey where you'll develop cutting-edge algorithms and models that power our groundbreaking computer vision services, including Amazon Rekognition, Amazon Go, Visual Search, and more!At Amazon, we're combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement to solve real-world problems at an unprecedented scale. As an intern, you'll have the opportunity to build innovative solutions where visual input helps customers shop, anticipate technological advances, work with leading-edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers worldwide.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 Computer Vision Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; Cupertino, CA; Minneapolis, MN; New York, NY; Portland, OR; Santa Clara, CA; Seattle, WA; Bellevue, WA; Santa Clara, CA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with expertise in: Vision - Language Models, Object Recognition/Detection, Computer Vision, Large Language Models (LLMs), Programming/Scripting Languages, Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, RoboticsIn 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 of visual intelligence. You will tackle challenging, groundbreaking research problems to help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers.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 Amazon scientists and cross-functional teams to develop and deploy cutting-edge computer vision solutions into production.- Dive into complex challenges, leveraging your expertise in areas such as Vision-Language Models, Object Recognition/Detection, Large Language Models (LLMs), Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, and Robotics.- Contribute to technical white papers, create technical roadmaps, and drive production-level projects that will support Amazon Science.- Embrace ambiguity, strong attention to detail, and a fast-paced, ever-changing environment as you own the design and development of end-to-end systems.- Engage in knowledge-sharing, mentorship, and career-advancing resources to grow as a well-rounded professional.BASIC 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 or scripting language like Python, Java, C or C++- Experience with one or more of the following: Vision - Language Models, Object Recognition/Detection, Computer Vision, Large Language Models (LLMs), Programming/Scripting Languages, Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, Robotics ...

Are you an organized, analytical, and process minded innovator who enjoys working with customers to solve problems with data? We are seeking an experienced Business Analyst to join the Field TA Program Management Office, supporting Operations Recruiting in North America. The PMO team enables on-time reporting and inspection of our organization to understand delivery risk. We recognize the value of healthy organizations and seek to quantify them in order to build a diverse, equitable, and inclusive workplace.In this role you will collaborate directly with senior leaders to inspect recruiting processes and identify insights that increase recruiting efficiency, candidate experience, and Amazon's overall ability to hire top talent.Qualities that are most important to be successful in this role: High standards and impeccable attention to detail: our tools and analysis are considered "the source of truth" for making many business critical decisions. Strong critical thinking skills and good judgement: Sometimes the data we have available to make decisions doesn't tell the full story. Our team members ask the right questions and make smart choices about how to move forward when data and anecdotes don't line up. Excellent verbal and written communication skills: You will be working with customers across the globe and we do a lot of communicating by email. Your ability to communicate effectively is critical to delivering projects. A desire to collaborate: Our team thrives on incorporating the ideas and feedback of others into our work. Recognizing and leveraging the skills and insights of those around you is just as important as what you bring to the table. What you’ll do:Manage Data – Write SQL queries to pull data from disparate databases so it can be analyzed. Research and source new data opportunities. Partner with other BIE’s across Amazon’s HR organization to understand present sources and connect to new sources of data.Create Reports – Create and manage processes to assure the best way to reflect data in meaningful ways that gets end users to act on it. Present information into core and scalable reports that facilitate decision making for recruiting and business leaders.Insight Mining – Explore data for insights about the opportunities and bottlenecks in the recruiting process.Ad Hoc Analysis – Conduct data analysis to support needs of the recruiting leadership team as we seek to increase the volume and quality of hiring for our business teams.Presentation – Display analysis and insights in front of influential audiences in a way that efficiently and effectively gets them to understand key themes.Skills:Analytical – Turns data into business insights. Skilled in identification of trends in data, their degree of statistical significance, and how reliably they can be inferred to broader populations. Educates and shares best practices in the field and brings sound yet innovative techniquesInfluence – Using the data to make meaningful improvements in the recruiting process. Interpreting data in a way that make it impacting to the business versus data analysis for its own sake.Reporting – Informing stakeholders on the best way to visualize data for optimum impact. Offering new ways to display data that had not been considered.Business acumen – Demonstrates and cultivates an understanding of talent acquisition. Leverages this knowledge to explore for insights in data that prove or disprove long-held beliefs and helps to guide the ability to anticipate future talent needs that have not yet been identifiedBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ 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- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights ...

We are looking for an Assistant Manager who can bring Amazon’s customer obsession to life in a grocery environment. You will direct day-to-day store operations and lead a team of engaged grocery associates to deliver a one of a kind shopping experience for customers. You will play a vital role in maintaining a vibrant store culture based on customer obsession, trust, respect, continuous learning, safety, and fun.Assistant Managers are experienced in leading large teams to deliver against standard operating procedures. Assistant Managers are natural leaders who are comfortable with change and are always looking for ways to improve their operation. Assistant Managers demonstrate a strong work ethic, excellent ownership, the ability to meet deadlines, a willingness to learn new things, and a commitment to the customer and employee experience.Key job responsibilities- Act as the manager on duty in the store, focused on delivering results while enabling a positive customer and employee experience.- Manage a team of associates, including relaying expectations, managing performance, providing regular feedback, and supporting career development.- Delegate effectively to drive results in your store, including executing standard operating procedures, identifying areas of improvement, implementing solutions, and providing ongoing feedback to store employees.- Maintain a culture of engagement by routinely listening to feedback from leaders, associates, and customers and implementing solutions to solve problems.- Identify areas of opportunity, determine root causes, and seek support to implement solutions to continuously improve the overall performance and culture of the store. - Maintain a safe, clean, and secure environment to ensure the security of all employees, customers, and products in your store. - You are comfortable working in a physical environment. You have the ability to lift up to 49 pounds and be on your feet for a shift.- Must be able to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.Candidates must be at least 18 years of age. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.About the teamAmazon Fresh Stores is a unique extension of Amazon.com that focuses on in-person shopping experiences throughout our grocery stores. We are passionate about creating a shopping experience that provides our customers with a wide selection, low prices and convenience. If you enjoy being both a leader and an inventor and you want to join a fast-paced, cutting-edge team that is making history and breaking new ground for Amazon’s grocery stores, this is the place for you.BASIC QUALIFICATIONS- 2+ years leadership experience in a customer-facing retail, hospitality, or grocery environment, or 2+ years of Amazon (Blue Badge/FTE) experience, or Bachelor's degree from an accredited university. ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in conversational AI.About the teamOur team’s mission is to deliver general-purpose multimodal foundation models enabling seamless speech-to-speech functions across a wide range of applications. We own pre-training (PT) and supervised fine-tuning (SFT) of LLMs. We partner with other teams to achieve state-of-the-art performance in all aspects of speech functions. We support product teams to deliver innovative conversational AI solutions to a broad set of customers and use cases.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

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 ...

You will work closely from a highly selective group of global Amazon partners to support the growth of our mutual business and total relationship success across worldwide Amazon. We are a global strategic business development team, seeking a customer-obsessed individual with excellent business judgement, to build collaborative relationships with partner executives and Amazon teams across all Amazon countries and organizations (Retail, Advertising, Devices, AWS, Amazon Business, Logistics, and Sustainability). This a highly visible role and your work will directly impact how we evolve and grow Amazon’s global business.Key job responsibilities• Working closely with Amazon and senior leadership to support business objectives• Identifying the most impactful, incremental business opportunities for your partners across total global Amazon• Working closely with Amazon teams and leadership across all countries and organizations to pursue those opportunities• Understanding opportunities using data, your close internal and external working relationships, and your knowledge of your partners’ global and local businesses• Identifying and gaining alignment on the most logical path to overcome opportunity blockers, by looking around corners and finding practical/creative solutions• Independently authoring documents, emails, and presentations for senior leadershipBASIC QUALIFICATIONS• Currently pursuing an MBA/Master’s degree with a graduation conferral date between December 31, 2025 and September 30, 2026• 3+ years of full-time professional and/or military experience which occurred which occurred between graduation from your undergraduate program and prior to starting your MBA/Masters program ...

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. We set big goals and are looking for people who can help us reach and exceed them by working with suppliers to enhance our selection and maximize product availability.We are looking for a strong Associate Brand Manager (ABM) to join Amazon Fashion's exciting and fast-paced team to on-board and manage strategic corporate priority selling partners within Premium Fashion.Amazon Fashion is building a team to support the growth of Premium Fashion in our stores. The Premium Fashion ABM will work closely with premium brands to grow their selection and enhance their brand storytelling through new onsite experiences, while helping define the shopping experience for all Premium Fashion customers. In this role, the ABM will build strategies for sustained long term growth, aid brands in driving improved operational performance, and develop programs that scale. A successful candidate will be motivated by an entrepreneurial, fast-paced and highly collaborative environment, have high quality standards, and be passionate about delivering best-in-class experiences for customers. They should also have a demonstrated ability to think strategically and analytically about a business, with the ability to build clear processes in the face of ambiguous circumstances, and work cross-organizationally to build consensus. A keen sense of ownership, drive, and ability to take ownership of execution end to end is a must. Your key responsibilities will include: - Building strong and sustainable relationships with key brand and internal partner team contacts (8 Priority Premium Brands) - Managing brand growth on Amazon, focusing on key inputs (catalog, customer CX, imagery on-site, buying execution) to drive the long-term success of each business - Creating playbook processes to define, simplify, improve, and expedite Premium brand growth - Creating Joint Business Plans with Premium vendors on an annual basis, then conducting business reviews with senior management regarding progress and roadblocks - Continuously seeking information to improve the customer experience and make recommendations to the business - Influencing partner teams to enhance tools and systems based on program findingsAbout the teamYou will be joining a team of 5 Vendor Managers and Associate Vendor Managers on the Premium Fashion Concierge (PFC) Team. The PFC team was created in 2022 with the vision of improving brand experience for Premium selling partners when working with Amazon. BASIC QUALIFICATIONS- 1+ years of account management, project or program management or buying experience- Bachelor's degree- Experience using Excel and other business analytic tools ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop 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 (Gen AI) in Computer Vision.About the teamThe AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

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 ...

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. ...

Work Address: 10819 4th St. NE, Bellevue, WA, 98004  Pay Rate: $20.50 per hour Availability Requirements: Part-time: Shift availability required 3 weekdays and 1 weekend day per week Shifts are between 5 a.m. and 11 p.m. and may be up to 8 hours long  ...

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).Key job responsibilities- Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.- Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.- Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.- Research and implement novel machine learning and statistical approaches.- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application 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 ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:• Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.• Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.• Learn more about our commitment to our communities, diversity and military veterans.• Learn more about our headquarters in Seattle as well as where we operate around the world.Senior Product Manager (PM): PMs are responsible for defining and supporting the building of desirable, feasible, viable, and sustainable products that meet customer needs over the product-market lifecycle. To do this, they collaborate with a wide range of people to identify and define customer needs, understand the Solution Context, and develop the Program Vision, Roadmap, and Features required to meet these needs.PMs work cross-functionally to drive ideas from conception to execution, develop business models and marketing plans, define and analyze success metrics, manage strategic projects, and own the product end-to-end. PMs ultimately become general managers responsible for running large business segments and organizations. Examples of organizations where PMs may work include (but aren’t limited to): North America Consumer (such as Retail Systems, Customer and Brand Protection, Marketplace Sales, International Retail, Hardlines, and Softlines), Prime and Delivery Experience, Logistics & Transportation, and more!Key job responsibilities- Developing and executing scalable business plans and product requirements – being a business owner.- Driving cross-functional projects to completion.- Developing strategies based on data analysis.- Communicating effectively with senior management.- Maintaining an intense customer-focus.- Balancing strategic thinking with tactical, detailed execution.- Working cross functionally with teams throughout the company.About the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. - Internship start dates will be between May- June 2025 for a 12-week, consecutive internship.- For more information, please visit https://amazon.jobs/content/en/career-programs/university/mbaBASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

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.Do you want to support the efforts of the Intelligence Community’s mission by providing the highest availability, scalability and security requirements possible? Are you passionate to learn how to operate services at scale while deep diving issues and harnessing your customer obsession? If so, then look no further!!!Amazon is building some of the largest distributed systems in the world, and we need astute people to support and engineer the next generation of compute and storage platforms for our customer. Amazon’s IREO (Infrastructure Reliability Engineering Organization ) team provides support worldwide with a focus on continuous improvement. We have exceptionally high standards for our infrastructure as well as our employees, and our systems are highly reliable, highly available, and turn scale into an advantage for our business and an asset to our customers. Our employees are exceptional, driven to serve customers, and fun to work with.The IREO team is looking for experienced people who are willing to own solutions, insist on the highest standards for our customers and can both think of the big picture but dive deep into solutions when the situation warrants. The skills and traits we are looking for include:- Have strong Linux/Unix Systems Administration knowledge to include reading, understanding and execution of shell scripts- Work with internal Software Development teams to drive improvement of the systems/services within the team's scope- Be a focal point for the escalation for complex issues and dive deep for solutions as well as provide guidance and knowledge-sharing with your teammates- Work directly with the various service owners and hardware design teams to collaborate on hardware issues within the fleet- Ability to understand, execute and improve documented procedures and effectively generate documentation to communicate status- Identify areas to improve operational efficiency for all services through root cause and trend analysis with the identification and development of SLA, metrics, monitors, procedures, tools, and documentation- Have, or be willing to learn, the capability to automate day to day tasks and develop/build software and/or servicesThis position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities- Support software services before they go live in Amazon Dedicated Clouds through activities such as testing, integration and establishing key infrastructure- Maintain software services once they are live by measuring and monitoring availability and overall health of the environment - Scale systems sustainably through mechanisms, automation, and evolve systems by pushing for changes that improve reliability and velocity- Actively involved in hiring and building the AWS team- Effective communication with internal customers, coordinating between teams, developers, escalation points- Periodically support a 24/7 on-call rotationAbout the teamDiverse ExperiencesAmazon 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 AWSAmazon 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.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.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 and 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.BASIC QUALIFICATIONS- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+- Current, active US Government Security Clearance of TS/SCI with Polygraph- 5+ years of administrative experience with Linux or cloud platform environments- Ability to read, understand and utilize existing scripts. ...

As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.AWS Industry Products (IP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to transform the world, industry by industry. We dive deep with leaders and innovators to solve the problems which block their industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We are looking for an Applied Scientist who are passionate about transforming industries through AI. This is a unique opportunity to not only listen to industry customers but also to develop AI and generative AI expertise in multiple core industries. You will join a team of scientists, product managers and software engineers that builds AI solutions in automotive, manufacturing, healthcare, sustainability/clean energy, and supply chain/operations domains. Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems.Key job responsibilitiesUsing your in-depth expertise in machine learning and generative AI, you will deliver reusable science components and services that differentiate our industry products and solve customer problems. You will be the voice of scientific rigor, delivery, and innovation as you work with our segment teams on AI-driven product differentiators. You will conduct and advance research in AI and generative AI within and outside Amazon.About the teamDiverse 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. 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- Experience building machine learning models or developing algorithms for business application ...

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 ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:• Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.• Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.• Learn more about our commitment to our communities, diversity and military veterans.• Learn more about our headquarters in Seattle as well as where we operate around the world.Sr. Program Manager (PGM):PGMs at Amazon act as internal consultants, designing and launching process and product improvements for diverse sets of business challenges. PGMs work to find solutions to complex problems within operations, supply chain, demand planning, logistics and innovate on leading edge solutions to manage programs broadly across businesses within Amazon. PGMs are given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions They drive efforts independently and as part of larger project teams, and have a significant impact on the customer experience and the business. PGMs are placed across lines of business at Amazon and work cross functionally. Examples of organizations where PGMs may work include: Amazon Web Services (AWS), Supply Chain, Procurement, Operations, Devices, Prime Video, Global Delivery, Consumer and more.Key job responsibilities- Manage full lifecycle of complex cross-functional programs with considerable impact across multiple organizations- Development of the overall program strategy, tactically driving teams in and outside of your organization to deliver- Report on objectives, analyze data and drive improvements that are quantified with metrics- Write high quality documents with customers, internal/external teams, and engineering teams to determine what projects move forward and in what priority order- Oversee gaps between teams, processes and systems, helping teams reduce exposure to classic failure modes (e.g., requirements not sufficiently understood or documented, ineffective cross-team collaboration, long-term impact(s) from third-party solutions, security not considered, insufficient stakeholder review, etc.)- Work with program managers and business leaders to communicate and impact critical business initiatives- Develop, implement, and govern KPI reporting for a portfolio of programs, providing visibility to the milestones, and performance across projectsAbout the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle or Bellevue, WA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. - For more information, please visit https://amazon.jobs/content/en/career-programs/university/mbaBASIC QUALIFICATIONS- Are 18 years of age or older- Graduated in the last 24 months or currently enrolled in MBA program at the time of application with anticipated graduation dates between December 1, 2024 and Sept 30, 2025.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Key Responsibilities and Job Elements: - Support, mentor, and motivate your hourly workforce - Manage safety, quality, productivity, and customer delivery promises - Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives - Lift up to 49 pounds and frequently push, pull, squat, bend, and reach - Stand/walk for up to 12 hours during shifts - Work in an environment where the noise level varies and can be loud - Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments) - Continuously climb and descend stairs (applies to sites with stairs) Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings. BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...