Job description

• 10+ years of relevant, broad research experience after PhD degree or equivalent.
• Deep expertise in Natural Language Processing as well as knowledge of the latest trends in related areas in Large Language Models and Deep Learning.
• Proficiency in programming for algorithm and code reviews.
• Strong core competency in mathematics and statistics.
• Track record of successful projects in algorithm design and product development at large scale.
• Publications at top-tier peer-reviewed conferences or journals.
• Strong prior experience with mentorship and/or management of senior scientists and engineers.

Interested in using advanced AI to improve the shopping experience of millions of customers? Amazon Search has the perfect job for you.

Amazon is among the top 10 most-visited website worldwide. About half of Amazon customers purchase products through Amazon Search. Our vision is to help customers shop with ease and confidence. We use large language models, deep learning, reinforcement learning, and other AI techniques to optimize our customer’s experience. We pride ourselves with making positive impact on millions of customers every day.

According to a survey by the National Retail Federation, 46% of online shoppers are simply browsing for inspiration. In the next three years, we will expand Amazon from a place that primarily serves customers on a buying mission, to a place customers enjoy turning to for shopping advice and inspiration. We envision that the advances in large language models will fundamentally change the way we shop online. We will create experiences that are attractive to diverse customers, by dynamically serving content based on customers’ interests and preferences. We invite you to join us on this journey of transformation.

Key job responsibilities
Everything we do is customer facing. As a hands-on science leader of this team, you will work backwards from customer benefits and define a research portfolio that balances near-term deliverables and long-term sustainable growth. Together with your engineering partners, you will own the ideation, design, experimentation, and deployment of the state-of-the-art AI solutions and demonstrate positive customer impact. You will stay connected with the science community by actively publishing your research findings. As a strategic leader, you will influence the organizations investment decisions through verbal and written communication. You’ll also participate in hiring, mentorship, and leadership development.

A day in the life
Every day we face the challenges of a fast-paced market and rapidly evolving technologies. Every day is Day One. If you enjoy learning new things and trying new ideas, this is an ideal job for you.

About the team
Our team’s mission is to show customers the right content, in the right place, at the right time. We create shopping experiences that make our customers feel like they have a personal shopping assistant guiding them through their shopping journey. Whether a customer is looking for shopping inspiration or knows exactly what to buy, we surface the right content personalized to each customer's unique shopping needs. We grow our relationship with customers by leveraging our deep understanding of their intent to provide relevant and timely recommendations.

In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team’s work is visible to millions of customers.

• PhD in Computer Science, Machine Learning, Mathematics, or related quantitative discipline.
• 15+ years of innovative machine learning research experience, with strong analytic and problem-solving skills.
• 10+ years of experience building and deploying groundbreaking machine learning solutions at large scale.
• Effective verbal and written communication skills with non-technical and technical audiences.
• Exhibits excellent business judgment; balances business, product, and technology very well.
• This person will have very sound judgment and be able to recruit and groom high caliber talent.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

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