2 days ago
Base Salary
$168k - $262k/yr
Responsibilities
- Lead development of LLM inference infrastructure for GenAI workloads at Amazon Ads scale.
- Own the architecture of large-scale ML training and real-time inference systems.
- Partner with applied scientists on ML pipelines from training and evaluation through deployment and serving.
- Establish ML infrastructure best practices and contribute to cross-team architecture decisions.
- Make technical tradeoffs on complex problems and deliver production-ready solutions independently.
- Mentor engineers and serve as a technical resource for ML infrastructure expertise.
Requirements
- 5+ years of non-internship professional software development experience.
- 5+ years of programming experience with at least one software programming language.
- 5+ years of experience leading the design or architecture of new and existing systems, including reliability and scaling.
- Experience as a mentor, tech lead, or engineering team leader.
- Preferred: 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Preferred: bachelor's degree in computer science or equivalent.
Benefits
- Comprehensive health insurance including medical, dental, vision, prescription, life and AD&D insurance, employee assistance, mental health support, a medical advice line, and flexible spending accounts.
- 401(k) matching, paid time off, parental leave, and adoption and surrogacy reimbursement coverage.
- Sign-on payments and restricted stock units are included in the Amazon package.
- Base salary varies by location: $193,300.00-$261,500.00 in Palo Alto, $168,100.00-$227,400.00 in Arlington, and $168,100.00-$227,400.00 in Seattle.
Categories
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.