As a Machine Learning Engineer, you will:
- Drive the technical direction of our offerings across the Sponsored Products organization
- Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
- Work closely with applied scientists to optimize ML model performance and infrastructure
- Implement end-to-end solutions - what you create is what you own
We're looking for curious, customer-obsessed engineers with a startup mentality - those who seek a disruptive yet clear mission, have an owner's mindset, and are relentlessly obsessed with delivering amazing products.
Key job responsibilities
You will:
- Own technical vision and direction - Identify problems, develop solutions, and embrace performance metrics to assess system health
- Build and grow your team - Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group
- Collaborate on product direction - Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers
- Lead beyond your team - Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions
- Own your own shop - Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)
You are:
- Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Team obsessed - You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results
- Humbitious - Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity - You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- Knowledge of machine learning model architecture and inference
PREFERRED QUALIFICATIONS
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
- 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience developing, deploying and managing AI products at scale
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 - 143,700.00 - 194,400.00 USD annually
