Subhrangshu Nandi

US, WA, Seattle

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! We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Senior Economist, Japan Consumer Innovation

JP, 13, Tokyo

The JP Economics team is a central science team working across a variety of topics in the JP Retail business and beyond. We work closely with JP business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic/econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP- EU- and US-based interdisciplinary teams. In this role, you will build ground-breaking, state-of-the-art causal inference models to guide multi-billion-dollar investment decisions around the global Amazon marketplaces. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon's long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon’s economist community in Asia. The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, econometrics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results. Key job responsibilities Work with Product, Finance, Data Science, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches. Innovate on how Amazon can leverage data analytics to better serve our customers through selection and pricing. Contribute to building a strong data science community in Amazon Asia. We are open to hiring candidates to work out of one of the following locations: Tokyo, 13, JPN

Applied Scientist, Artificial General Intelligence

US, CA, Sunnyvale

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 responsibilities As 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 team The 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. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA

Applied Scientist, Computer Vision, Devices

US, CA, Sunnyvale

Amazon Devices is building products to enable new forms of ambient computing, and we are looking for skilled and passionate applied scientists to join our world-class, growing team. As an Applied Scientist, you will be conceiving, designing, and bringing to market computer vision techniques for a new-to-world smart-home product. In this role, you will work daily on challenging problems from the perspective of both a research and production engineer. You will be responsible for developing techniques from invention to validation, and working cross-functionally to ship your algorithms into production. Broad knowledge of modern computer vision techniques, and how to apply them in practice, is required. You will need to develop new algorithms, drawing from state of the art methods, and be able to adapt them in order to work for new use cases in customer’s homes. This is a greenfield development effort, where you will need to define models, drive best engineering practices, and produce clean, re-usable code. You must be prepared to deal with ambiguity and be ready to learn as you go. You will have the opportunity to influence product decisions and direction that will impact millions of customers. Key job responsibilities - Develop GenAI applications - Train and evaluate LLM models across different platforms - Optimize various machine learning models including pruning and distillation, in addition to edge / cloud deployment - Research, develop, implement and evaluate novel CV algorithms - Work closely with software engineering teams to build scalable, real-time implementations - Collaborate with team members on developing systems from prototyping to production level About the team This role is on a cross-functional team with a startup mentality. We’re moving fast and have ample growth and development opportunities. We are open to hiring candidates to work out of one of the following locations: San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Applied Scientist II, Amazon Bedrock

US, CA, Santa Clara

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in language, generative AI and foundational models. 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 natural language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative algorithms that can optimize the inference engine of foundation models. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA

Sr Manager, Applied Science, Sponsored Display, Amazon Ads

US, NY, New York

About Amazon Advertising: Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. About our team: Sponsored Display (SD) is Amazon Advertising’s self-service display advertising offering that empowers any advertiser – regardless of budget size, advertising experience, or technical expertise – to reach audiences across a variety of supply. Our team is responsible for growing SD beyond Amazon.com (Beyond the Store), including 1P properties (e.g., Twitch, IMDb, Alexa, FireTV), 3P programmatic properties (websites and mobile apps), and 3P strategic integrations (e.g., Pinterest). This includes defining and building the advertiser experience, the consumer experience, and connecting the two via ad serving. About this Role: The Sr Manager, Applied Science role is the single-threaded owner of the SD Beyond the Store program and is responsible for setting the vision, strategy, roadmap, and P&L for the offering. The person in this role will be required to think big, dive deep, have bias for action, and bring a history of delivering results to Amazon’s advertising solutions. You will lead a cross-functional team, engaging directly with customers of all sizes and teams across the organization. We're looking for visionary and innovative individuals who thrive on solving problems. An ideal candidate is a leader who leads across the entire product lifecycle. The successful candidate must have problem solving skills, business judgment, technical depth and demonstrated experience leading initiatives that involve multiple cross-functional teams. We are looking for an effective leader to execute both strategically and tactically, and someone who is excited to take on a new, ambitious, and ambiguous program. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA | Seattle, WA, USA

Senior Applied Scientist, AWS Identity

US, WA, Seattle

We are looking for a passionate, talented, and inventive scientists with a strong machine learning background. We are looking for a scientist to help build transformative solutions to security and access management, by developing state of the technology in machine learning, generative AI and foundational models. Key job responsibilities You will define the scientific roadmap, identify relevant data, propose innovative machine learning solutions, conduct rigorous experiments, publish results, and work with the engineering team to deploy these solutions. You will identify investment opportunities, develop long term strategies, and propose, prioritize, and deliver on goals. You’ll also participate in organizational planning, hiring, mentorship, and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The team is working on products and services that help customers with access management and security. We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA | Seattle, WA, USA

Applied Scientist II, Amazon Bedrock

US, CA, Santa Clara

Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading technology in language, generative AI and foundational models. 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 natural language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative algorithms that can optimize the inference engine of foundation models. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA

Applied Scientist, Artificial General Intelligence

US, CA, Sunnyvale

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 technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to support the development of 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 language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances with LLMs and multimodal systems. About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA

Intern - Economics, Weblab

US, WA, Seattle

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. About the team Amazon's Weblab team enables experimentation at massive scale to help Amazon build better products for customers. A/B testing is in Amazon's DNA and we're at the core of how Amazon innovates on behalf of customers. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA | Seattle, WA, USA

Subhrangshu Nandi

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