yoinka

Sr. ML Engineer, CAIT

Amazon

US, WA, SeattleFull TimeSenior
Sign in to applyVerified 4h ago
Location
US, WA, Seattle
Employment
Full Time
Work model
On-Site
Level
Senior
Posted
23h ago

Skills

AWSMachine LearningREST

About this role

At AWS Cloud & AI Innovation team, our mission is to accelerate customer adoption of AI and maximize the value they get from this technology. As Senior ML Engineer on our team, your focus will be on solving the most complex engineering problems that prevent our customers from successfully adoption AI at scale. You will help customers build technically sound AI and Agentic platforms, addressing the most complex engienering problems in the process. These include agent evaluation, multi-agent orchestration, semantic data layer, and adavnced cost optimization, just to name a few. A successful candidate will have a strong software engineering as well as machine learning background, a deep understanding of the AI stack, and a desire to push the envelope in applying AI to the most difficult practical problems preventing adoption at scale and in business-critical situations. As a senior member of the team, you will own ambiguous, high-impact engineering problems end-to-end — from architecture and design, to prototyping and skeletal production implementation. You will combine innovative problem solving with the ability to package your innovations into reusable solution that the rest of the team can apply in customer-facing engagements.

About the team

About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Sr. ML Engineer, CAIT at Amazon — US, WA, Seattle | Yoinka