Careers

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As an Applied Scientist on our Product Science team working closely with Customer Service, you will solve complex problems at scale by leveraging Machine Learning, Natural Language Processing, and GenAI to transform our customer support experience. You'll work on initiatives that reduce human-assisted contacts by developing smart routing systems, implementing intelligent data analysis, and creating AI-powered tools that anticipate customer needs. Your work will focus on key projects outlined in our strategic plan, including: - Analyzing customer feedback to optimize support routing and customer journeys - Developing models to better identify specific customer needs and route them to the appropriate support channels - Supporting AI chatbot implementation across multiple marketplaces and languages - Contributing to Help Center personalization efforts and integration with AI-powered conversational agents As an Applied Scientist, you will... - Understand customer service use cases and design/implement AI solutions that are scalable, efficient, and automated - Work closely with fellow scientists and software engineers to build and productionize models that deliver novel, customer-focused features - Review models and provide recommendations to improve customer experience while reducing operational costs - Design and deploy modeling techniques focusing on customer intent classification, self-service efficiency, and proactive support - Contribute to initiatives employing recent advances in AI in a fast-paced, experimental environment - Support our goal of achieving cost reductions through AI-powered automation - Analyze customer interaction data to identify patterns and opportunities for service improvements ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

The Healthcare AI organization in AWS is seeking a Sr. Manager of Applied Science to lead science and data teams working on innovative AI-powered healthcare solutions. We are developing innovative products that leverage generative and agentic AI to transform clinical and administrative workflows for healthcare providers. Our aim is to improve patient care, enhance operational efficiency, and deliver exceptional value to our customers. You will lead teams of applied scientists and medical clinicians, working on transformative healthcare solutions powered by cloud computing and artificial intelligence. This role offers an opportunity to work at the forefront of applied AI/ML and distributed systems, building new products and services from the ground up. Our team builds on our existing successful healthcare business, which serves major providers and payers in the US. You'll be instrumental in creating solutions that address complex challenges in areas such as clinical documentation, health data analytics, and accurate billing, ultimately contributing to better health outcomes for individuals and populations. Key job responsibilities As a Sr. Manager, Applied Science, you will be responsible for building and leading a world-class team that pushes the boundaries of computer vision, machine learning, and artificial intelligence. In this role, you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will balance hands-on technical leadership with people management responsibilities, ensuring your team delivers cutting-edge solutions while growing professionally. The role requires someone who can think strategically about business problems while diving deep into technical details when needed. - Building and mentoring teams of Applied Scientists, ML Engineers, and Medical Clinicians - Setting technical direction and research strategy aligned with business goals - Driving innovation in medical administration reasoning systems, AI agent design, and medical coding - Collaborating with cross-functional teams to translate research into production - Managing project portfolios and resource allocation A day in the life Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor. About the team Our team builds on our existing successful healthcare business, which serves major providers and payers in the US. You'll be instrumental in creating solutions that address complex challenges in areas such as clinical documentation, health data analytics, and accurate billing, ultimately contributing to better health outcomes for individuals and populations.

Come join the Alexa Audio team working on Alexa+, a completely new product that powers all of our devices and services. This is an opportunity to work with latest machine learning techniques, and inventing the future. Alexa Audio is responsible for fulfilling customers requests for all types of audio content (Music, Radio, Podcasts, Books, generative audio) across all Alexa enabled devices. This covers a broad set of experiences including search, browse, recommendations, playback, and multi-device grouping and controls. We are seeking a talented, self-directed Applied Scientists who would come up with state of the art search and recommendation techniques, and help develop new generative experiences. This is a unique opportunity where you will be working on latest technologies including LLMs, and also see it impact customer's lives in meaningful ways. Responsibilities - Apply advance state-of-the-art artificial intelligence techniques and develop algorithms in areas of personalization, voice based dialogue systems and natural language information retrieval. - Design scientifically sound online experiments and offline simulations to study and improve products. - Work closely with talented engineers to create scalable models and put them to production. - Perform statistical analyses on large data sets, identify problems, and propose solutions. - Work with partner science teams to identify collaboration opportunities. Work hard. Have fun. Make history.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. About the team Prime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.

Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment. We are looking for Applied Scientists to tackle challenging problems in the areas of high scale data processing, quality & natural language based information retrieval from data . You will encounter many challenges, including - Scale (build models to handle billions of records) - Accuracy (High precision and recall requirements) in deduplication and anomaly detection - Diversity (models need to work across different data formats, languages, and sources) You will help us to - Build scalable systems for intelligent catalog management using ML/AI-based deduplication and entity resolution - Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets. - Build knowledge graph-based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at scale. Key job responsibilities Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems - Design, develop, evaluate and deploy, innovative and highly scalable ML models - Work closely with software engineering teams to drive real-time model implementations - Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance - Leading projects and mentoring other scientists, engineers in the use of ML techniques

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Manager III, Economist Job Location: Arlington, Virginia Job Number: AMZ9160290 Position Responsibilities: Independently manage a team of economists and/or scientists in developing strategic economic analyses and demand estimation models. Translate business questions into econometric methodologies and causal inference analyses. Communicate economic insights to non-technical audiences to guide strategic-level, high-impact business decisions. Scale economic models through cross-functional collaboration with engineering teams. Establish scientific quality standards and research priorities. Drive operational efficiency and research excellence across the team. Position Requirements: Doctor of Philosophy (Ph.D.) degree or foreign equivalent degree in Economics or a related field and five years of research or work experience in the job offered or related occupation. Must have one year of research or work experience in the following skill(s): 1) managing a team of economists or scientists; 2) using advanced econometric methodologies, casual inference techniques, and statistical programming languages to inform business decisions; 3) experience with software development in collaboration with engineering teams for model implementation; 4) experience communicating complex economic insights to senior stakeholders; and 5) experience developing and mentoring research professionals. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $190,320/year to $236,900/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits#0000

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovations. You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! #HKJobfair Key job responsibilities Key job responsibilities - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis. - Provide technical leadership and research new machine learning approaches to drive continued scientific innovation. - Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams.

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique possibility to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer. You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing efficient computer vision algorithms on resource-constrained computing platforms on edge. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - Research and implement the state-of-the-art computer vision and sensor fusion algorithms for resource-constrained computing platforms on a large scale. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices - Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

We are looking for a Principal Economist at the frontier of applied econometrics to join the Last Mile Economics team. They will develop rigorous but interpretable models to understand the past and present, predict the future, and identify relevant risks and opportunities across all the Last Mile programs. The team supports Amazon Flex, the Delivery Service Partner program, and the Hub Delivery Partner program. This leader will build tools to forecast the internal and external drivers of the engagement and effectiveness of our transporters. These tools will enable Amazon to innovate ways to incentivize our transporters to deliver for our customers in the short, medium and long term. They will also build econometric models of dynamic systems using our world class data tools, and formalize problems using rigorous science to solve business issues and further delight customers. Key job responsibilities The ideal candidate will have extensive knowledge of both the theory and practice of econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results. They will work closely with and influence a broad set of stakeholders across Last Mile. They will partner closely with Economists, Applied Scientists, Research Scientists, and software engineers to integrate their forecasts and estimates into a larger ecosystem of predictive and optimizing models; with Product leaders to help define analytic product use cases, requirements, and success critera; with Operations and Financial leaders to drive adoption of these tools in both day-to-day operational settings as well as in financial forecasting exercises; and with Leadership to share insights, learnings, and recommendations for taking opportunities and mitigating risk. This position is well suited for economists adept at combining time-series statistical methods with rigorous structural microeconomic modeling and causal inference. It could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. A day in the life Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. About the team The Last Mile Economics team builds forecasting, optimization, and incentive design tools to help connect supply and demand for delivery capacity across Last Mile, delighting millions of customers worldwide. Our forecasts, experimental design, causal inference, dynamic optimization, and mechanism/information design provide timely and effective incentives that shape pools of capacity across Amazon Flex, the Delivery Service Partner program, and our Hub Delivery Partner programs to meet growing demand for high-quality deliveries.