328 Developer jobs in Lynnwood,WA

USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually

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.

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

7+ years of working as a Technical Product Manager experience

5+ years of technical (software development, network development, IT, other related) experience

Based in Seattle, WA.

Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

The base salary range for this position is listed below.

USA, NY, New York - 183,800.00 - 248,700.00 USD annually

USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

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 .

3+ years of building machine learning models for business application experience

PhD, or Master's degree and 6+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience in development in the last 3 years, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

3+ years in digital advertising technology.

Experience developing, deploying and managing AI products at scale

Experience with generative model architectures

Research publications or patents in generative AI technologies

Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output quality)