Job Description

We are looking for a Senior Machine Learning Engineer who will serve as a technical leader driving the design and delivery of complex large-scale ML systems that have significant business this role you will define the ML architecture and technical strategy for your team influence cross-organizational ML platform decisions and raise the bar for ML engineering excellence. You will build super-intelligent AI systems lead the development of production-grade AI services including generative AI and LLMs and mentor a team of ML engineers. This is a high-impact role requiring deep technical expertise strong judgment and the ability to operate in ambiguous problem spaces.

Key job responsibilities
Define and drive the ML technical strategy and architecture for your team and adjacent teams
Design and lead the implementation of complex multi-model ML systems at Amazon scale
Architect ML platforms and frameworks that enable rapid experimentation and deployment across the organization
Lead the design of real-time and batch ML serving infrastructure with high availability and low latency
Drive adoption of ML best practices including MLOps model governance responsible AI and cost optimization
Evaluate and introduce new ML technologies frameworks and methodologies (e.g. foundation models RAG fine-tuning RLHF)
Lead cross-functional initiatives spanning science engineering product and business teams
Influence org-wide technical decisions through design reviews architecture reviews and technical writing (design documents white papers)
Mentor and develop L4 and L5 ML engineers; raise the hiring bar as a bar raiser or interviewer
Drive operational excellence: define SLAs build dashboards automate incident response and reduce operational burden

- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- Experience in technical support or experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience in creating and managing complex cross-team project plans
- 4 years of distributed systems experience or Bachelors degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience building complex software systems that have been successfully delivered to customers

- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience defining ML platform strategy and building reusable ML infrastructure

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 WA Bellevue - 168100.00 - 227400.00 USD annually

Required Experience:

Senior IC

]]><

Job Tags

Full time, Internship, Flexible hours

Similar Jobs