Applied Scientist II, Customer360
About The Position
This role is for an Applied Scientist passionate about advancing Information Retrieval, NLP, and Large Language Models. The position involves innovating on behalf of millions of customers to help them discover what they need, with access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems. The team is part of Amazon's Personalization organization, focusing on delivering the best shopping experiences through machine learning, generative AI, large-scale data systems, and user experience design. They build large-scale machine-learning solutions to provide personalized and relevant experiences to customers, shaping the future of the shopping journey.
Requirements
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Nice To Haves
- Experience using Unix/Linux
- Experience in professional software development
Responsibilities
- Research, design, and development of new AI technologies for personalization.
- Adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval, and large language models.
- Collaborate with scientists, engineers, and product partners locally and abroad.
- Inventing, experimenting with, and launching new features, products, and systems.
- Analyze large-scale customer data, generate insights and hypotheses, execute experiments, and develop statistical and ML models.
- Communicate findings clearly to influence technical and product decisions.
- Innovate on behalf of the customer and build models that improve personalization experiences across Amazon.
Benefits
- 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
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
