Applied Scientist, Customer360

Amazon • Seattle, WA

5d • $142,800 - $193,200 • Onsite

About The Position

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

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 in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in designing experiments and statistical analysis of results
• Experience in patents or publications at top-tier peer-reviewed conferences or journals

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 and fine-tuning models.
• Collaborate with scientists, engineers, and product partners locally and abroad.
• Inventing, experimenting with, and launching new features, products and systems.
• Solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments, and develop statistical and ML models.
• Influence stakeholders with clear communication skills.
• Innovate on behalf of the customer and strategically build features.
• Mentor junior members and help them grow.

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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior