Careers

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities We seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.

At Prime Video we are inventing a customer-centric future that offers more choice and flexibility than traditional Cable, Satellite television and other streaming providers. Where you can watch video content such as Prime Originals (Fallout, The Boys, The Marvelous Mrs. Maisel), movies, TV shows, Live sports (Thursday Night Football, English Premier League), local programming and hundreds of add-on subscriptions such as HBO max and Paramount+, anytime anywhere. All on your terms instead of having to pay for an expensive one-size-fits-all bundled package or be locked into long term contracts. The Core Playback organization operates at a global scale and is a critical part of Prime Video’s flywheel. We own Prime Video's core streaming technology and playback experience across all devices including Android phones and tablets, iOS devices, Web, Living Room Smart TVs, set top boxes, Windows10, Mac OSX, gaming consoles in more than 200 countries and territories. The technology landscape in streaming playback is rapidly changing. The Principal Scientist role in Core Playback reports to the Director of the organization with the intention of steering our science strategy across a wide range of areas. Key job responsibilities As a Principal Applied Scientist in the Prime Video Core Playback organization you will have deep subject matter expertise in applied machine learning. You will work with multiple teams of scientists, engineers and product managers to translate business and functional requirements into concrete deliverables. The field of Artificial Intelligence and Machine learning is experiencing unprecedented innovation and while it is important to know how recent advancements, such as GenAI, can be applied to develop new approaches to improve customer, developer and business outcomes, you'll work backwards from the desired outcomes to determine which ML technique is best applicable (traditional ML, GenAI, etc). Problem spaces you will be working on include: improving the customer streaming experience, video streaming and delivery heuristics in the PV apps, generating actionable insights from large scale of playback telemetry data, reducing the cost/effort/time to detect defects in customer's playback Quality of Experience (QoE) , applying ML to all aspects of the software development process to allow us to develop and release features faster and improving streaming playback quality and reliability. You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring.

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers. As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation. Developing robust techniques for synthetic data generation for training large models and maintaining model generalization. Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done. About the team We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices. We are interdisciplinary and we act like it -- we ask each other questions and value our different perspectives.

The Senior Applied Science Manager owns the complete science mission and team for Advertising Trust. We’re a global organization that is highly matrixed and this role reports directly to the VP of Advertising Trust. Science is not just at the core of what Advertising Trust does, but it’s essential. We have one of the largest and most highly complex yet important missions and the work is not going away, instead it’s growing with nuance and challenges with the advent of GenAI, et. al. You will apply state of the art technologies across computer vision, LLM training and application, etc. to deliver on this mission. It requires high judgment, self-direction and curiosity to achieve truly world leading innovation. The role will present regularly to senior leadership, providing opportunities to gain their unique insight, and advocate for cross-organization investments for optimal decision-making. This is a fun, high energy role that will provide opportunities for growth for even the most seasoned executive. Key job responsibilities • You must be a highly collaborative leader who thrives on earning trust through transparency. • You must be able to develop bold visions with highly specific roadmaps to achieve those visions. • You must be a vocal advocate for your team and science in general and “lean in” to conversations. • You must be up to travel frequently for this role, including to the US to meet with key business leaders and partners. • Hire and develop entire team all the way from the Principal level to new hire all elements of the Science team. • Taking full service ownership of your teams including developing research and engineering (product roadmaps), developing and tracking relevant metrics, and ensuring system performance. • Coaching and developing scientists to maintain standards and to drive career growth for your direct reports. • Building a team culture around technical excellence and strong delivery. About the team Advertising Trust (AT) is at the center of Amazon Ads, one of Amazon’s fastest growing businesses. Every ad that flows through our Amazon systems, or is presented on one of our owned and operated sites, needs to adhere to the policies that AT creates. These policies simplify the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries today. All of these ads need to be properly approved or rejected the first time and within SLA. There should be no ambiguity as to why the ad was approved or rejected from the perspective of the Advertiser or Publisher and the ad should be able to reach its optimal audience. If AT is doing a great job, the ecosystem is efficient and we can ensure a great shopper experience.

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment? If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day. Key job responsibilities Use machine learning and statistical techniques to create scalable risk management systems Learning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends Design, development and evaluation of highly innovative models for risk management Working closely with software engineering teams to drive real-time model implementations and new feature creations Working closely with operations staff to optimize risk management operations, Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Tracking general business activity and providing clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches

We are reimagining Amazon Search by introducing an interactive conversational experience that makes finding the perfect product easier than ever. With our state-of-the-art Large Language Model (LLM) innovations, you can now ask product-related questions, compare products, receive personalized suggestions, and more—all through a fast and reliable natural language conversation. This is just the beginning of a new era in online shopping, and the future is yours to shape. We're searching for pioneers who are passionate about technology, innovation, and customer experience, and who are ready to make a lasting impact on the industry. You'll be working with talented scientists, and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey and change the world of eCommerce forever!

Live Playback and Operations organization owns the live and 24/7 linear channel playback experience from content ingestion and signal acquisition, encoding (H.264/AVC, H.265/HEVC, AV1 etc) and streaming technologies (DASH, HLS, Smooth streaming, Low Latency), feature development (time shifted viewing, replays) to content distribution and delivery (CDN capacity management & load balancing) to the end customer for Prime Video. In addition, the organization handles the D2C (direct to consumer) app and Media Asset delivery for ~50 affiliates for MGM+. To run everything end-to-end at Amazon scale the org owns operations (active monitoring and incident response), instrumentation, infrastructure (on-premise & cloud encoders, direct connects, transport fiber, satellite), and tooling for these areas. Prime Video streams thousands of Amazon produced and third party live events per year in addition to thousands of linear stations globally. We achieve that with high-availability, low-latency, using different formats on approximately 1 billion devices, and do that for millions of customers with the best possible audio-video experience and frugal use of infrastructure and people. This is made possible through the use of advanced technology and science to automate operations, high judgment decision support systems and the infrastructure to deliver complex services simply, reliably and consistently. The Principal Applied Scientist leads innovation across a broad range of specialist areas. These include use of AI for routing content through our vast video delivery network, optimization of video operations, automation of signal processing, identification of defects and anomalies, predicting granular delivery capacity needs using public and private data, and much more. We have advanced capabilities in dedicated groups for low latency content delivery and computer vision quality analysis. Our organization is globally dispersed with an existing science group that has research collaborations with multiple US and European Universities, science publishing, contributions to industry standards and patents. The leader in this role will grow our science broadly across the organization, opening opportunities for innovation and use of cutting-edge science in areas where we see the potential to make significant impact to the service we provide to our customers and how we do that efficiently and effectively at Amazon scale. The scope of the role is broad and reports into the Director of the organization with the intention of steering our science strategy across a wide range of areas. This includes spotting opportunities, connecting with science and engineering leaders across Amazon. It is also required that the leader brings industry and university research context into the organization. The technology landscape changes fast and we make careful choices to balance vendor partnership along with self-build decisions to trade-off moving fast with owning core capabilities. The problems and challenges we face tomorrow may be quite different from those today, and the technology we need to innovate for our customers to go faster, increase our quality, and expand the range of products we provide to customers. The Principal is a key advisor to the Director and leadership team of the organization with the skills to communicate complex subjects simply both orally and in written form to influence our strategic and tactical decisions. You probe assumptions, illuminate pitfalls, bring clarity, and generate shared understanding on science topics. As an Applied Scientist, it is a 'hands-on' science leadership role, and requires opining on decisions that affect the way we create, build, and evaluate scientific solutions. Your views are influential in which research directions we invest in, the universities we collaborate with, and the outcome results. You grow other science leaders, mentoring and coaching them and develop science knowledge and application widely across the organization through educating leaders at multiple levels. You acquire expertise yourself to keep across trends and steer Prime Video in the best direction to invest and the benefits that will accrue from that. Your influence stretches across multiple, diverse teams, globally, and across organizational boundaries. Our science overall is stronger, our understanding of science topics is deeper and broader, and the programs we invest in generate impactful outcomes through your leadership. The role expects you to have a direct science output yourself in a strategic area, connecting with professors at leading universities, speaking and representing Amazon at conferences and industry events and influencing industry standard bodies. You are a thought leader and represent us on specific topics. You are connected with industry and standardization bodies and recognized in those communities. You publish, co-author, and review publications and secure our intellectual property through patents. Key job responsibilities The Playback Development & Operations Principal Scientist is a subject matter expert recognized as a thought leader in a particular science discipline at a global level. For instance, you serve as an Area Chair at peer-reviewed conferences or as a senior program committee member. The role requires connection with internal and external research groups and you are expected to be active in the academic community and have relationships with multiple universities. Your track record includes research, publications, or intellectual property, and application of that domain expertise into real-world problems. The role expects that you will continue to publish in top-ranking journals and present at leading conferences. As a trusted advisor to senior leadership, you are an expert in state-of-the-art methodologies in at least one area of computer science, natural language processing, computer vision, video signal processing, Gen AI, content distribution, networking or other similar topics. As the senior science leader in a large organization, you will develop talent in Prime Video, through involvement in the hiring process, annual evaluations, and promotion assessments. You will develop other science leaders and have a background of growing multiple other experts to an advanced level, perhaps as a PhD advisor or as an industry leader. You have prior experience of getting technology across the line, and have written critical path code or algorithms in the past, and you could be hands on and own most complex and key algorithms when necessary. You understand the concerns of both software engineers and are familiar with research methods used in modern science. In current and previous roles, you have examples where you delivered scientifically complex solutions into production that are innovative and impactful. You can articulate those problems clearly, communicating core science concepts simply, and the resulting benefits. You are up to date with modern trends in compute science. You can speak confidently and influence opinion both at VP level and with junior engineers on the application and opportunities of Machine Learning and Generative AI. You are familiar and have hands-on experience using large language models, transformer architectures, and recent innovations. Ideally, you are also familiar with an aspect of audio-video signal processing, computer vision, or networking/media distribution technology and research. You will prepare and deliver artifacts that set the standard for Prime Video science leadership and engineering excellence. Your science writing and where applicable algorithms, analysis, and research results serve as example within the organization. The research you lead and influence will have results that are demonstrated in service/product features and efficiencies in operations. You collaborate effectively with other leaders to get things done. Your involvement makes science easier to generate impact and saves effort for the organization as a whole to progress our objectives. You do that through advising senior leaders and bringing understanding to complex subjects. You move fast, both to resolve ambiguity and bring innovative solutions to intrinsically hard, previously unsolved problems. To do that, you identify opportunities and convince other leaders by bringing them along with your ideas. You use metrics, data, and analysis to make informed decisions. You lead research that takes balanced risks that inform our future. You not only dive into the immediate pain points but also set the long term science roadmap and vision for the next 3-5 years.

DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key job responsibilities - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. - Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. - Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. - Engage in effective technical communication (written & spoken) with coordination across teams. - Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. - Publish research papers in internal and external venues of repute - Support on-call activities for critical issues BASIC QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - PhD, or a Master's degree and experience in CS, CE, ML or related field - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Proficiency in coding and software development, with a strong focus on machine learning frameworks. - Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. - Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. PREFERRED QUALIFICATIONS - 3+ years of building machine learning models or developing algorithms for business application experience - Have publications at top-tier peer-reviewed conferences or journals - Track record of diving into data to discover hidden patterns and conducting error/deviation analysis - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations - Exceptional level of organization and strong attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic work environment

Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces- generative-ai-innovation-center). GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities You will work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts You will help develop the industry’s best generative AI delivery team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity. You will grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources. You will identify opportunities for building reusable technical assets based on recurring patterns of customer needs You will provide customer and market feedback to Product and Engineering teams to help define product direction You will drive revenue growth across a broad set of customers You will be a thought leader and drive value creation for our customers, shaping technical solutions, growing the team, and leading specific customer engagements You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. 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. 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. 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 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 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.

AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. A day in the life The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you. We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA About the team AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Diverse Experiences AWS 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 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 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 & 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. 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.