Machine Learning Engineer

Based in Seattle on site, Amazon's CreativeX RAPID team focuses on real-time ad personalization and scalable ML model deployment for Dynamic Creative Optimization, leveraging generative AI, large language models, reinforcement learning, and computer vision. This role offers a competitive salary ranging from USD 143,700 to 213,800 per year, with a comprehensive benefits package and on-site collaboration opportunities in Seattle. Minimum experience required is 2 years.

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance including medical, dental, vision, prescription coverage, Basic Life & AD&D, with options for supplemental life plans
• Employee Assistance Program, Mental Health Support, Medical Advice Line, Flexible Spending Accounts
• Adoption and surrogacy reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Responsibilities

• Rapidly learn and apply new generative AI technologies to address Dynamic Creative Optimization challenges
• Explore design approaches, prototype new technologies, and assess feasibility, including AutoML and real-time ML serving systems
• Collaborate with scientists to design and build data pipelines capable of processing massive datasets and scaling machine learning models
• Develop and maintain platforms for creating, evaluating, and deploying machine learning models for real-world applications

Requirements

• 3+ years of professional software development experience (non-internship)
• 2+ years of professional design or architecture experience (design patterns, reliability and scaling) for new or existing systems
• Experience programming in at least one programming language

Technologies

• AutoML
• Latent diffusion models
• Large language models (LLMs)
• Reinforcement learning
• Computer vision