Applied Scientist , Personalization & Ranking

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a scientist to advance state-of-the-art machine learning and recommendation systems in Seattle, WA. You will work with large datasets and massive compute resources to study customer behavior and push the boundaries of models deployed on the retail site.

You will develop AI solutions for recommendations using deep learning, LLMs, reinforcement learning, distillation, and optimization, collaborating with engineers and product managers to design, implement and launch end-to-end

Qualifications

• 3+ years of modeling experience for business applications.
• PhD or Master's plus 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Develop state-of-the-art models to optimize the shopping experience on the retail website.
• Build AI solutions for recommendations using DL, LLMs, RL, distillation, and optimization.
• Collaborate with engineers and product managers to deploy end-to-end.
• Design offline and online experiments (A/B) to evaluate solutions with data analyses.
• Communicate complex ideas clearly to teammates and stakeholders.

Skills

Modeling experience

Programming: Java/C++/Python

ML/Data mining

Education

PhD or Master’s + 4+ years in CS/ML

Tools

Unix/Linux

Professional software development

Job description

Job ID: 10543976 | Amazon.com Services LLC

Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon.

Key job responsibilities

• Using Amazon's large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to optimize the shopping experience, and run these models directly on the retail website.
• Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods;
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
• Effectively communicate technical and non-technical ideas with teammates and stakeholders;
• Stay up-to-date with advancements and the latest modeling techniques in the field;

Basic Qualifications

• 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

Preferred Qualifications

• Experience using Unix/Linux
• 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.

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

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