- Office in Seattle
Description
Are you a scientist interested in pushing the state of the art in LLMs, Information Retrieval, and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Answer yes to any of these questions, and you will be a great fit for our team at Amazon.
With the rise of Generative AI and LLMs, customer expectations for deeply personalized experiences have increased. To meet this challenge, we're seeking a Applied Scientist to help develop a unified understanding of customers across Amazon's diverse range of businesses and offerings. This initiative will revolutionize how we understand and serve our customers, leveraging advanced AI and machine learning techniques to uncover insights from seemingly unrelated interactions across our services. By creating a seamless, personalized experience that adapts in real-time to customer preferences and behaviors, we aim to set new industry standards for customer-centric, AI-powered personalization. As a leader in this initiative, you'll drive technological breakthroughs that will directly enhance millions of customer interactions daily.
Key job responsibilities
As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.
Please visit https://www.amazon.science for more information.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the organization. You get to influence stakeholders with clear communication skills. You innovate on behalf of the customer and strategically build features. You will mentor junior members and help them grow.
About the team
The team values innovations and offers a safe place to try, fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession.
Basic Qualifications
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3+ years of building models for business application experience
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PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
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Experience programming in Java, C++, Python or related language
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
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Experience in designing experiments and statistical analysis of results
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Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
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Experience using Unix/Linux
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Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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