Sr. Applied Scientist, CAIT

About the 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 Applied Scientist on our team, your focus will be on solving the most complex problems that prevent our customers from successfully adopting AI at scale. You will research new methods for overcoming obstacles that are beyond engineering solutions. These include advanced methods for agent grounding and evals, novel methods for multi-agent orchestration and semantic data layer, and innovative approaches to optimizing customer token costs, just to name a few.

Responsibilities

• Solve high-impact research problems end-to-end — from defining the scientific direction to conducting the research, to packaging it into a reusable solution that the rest of the team can apply in customer-facing engagements.
• Leverage your technical expertise to set the research agenda for how we measure conversational quality.
• Mentor engineers and architects.
• Partner across science, engineering, and business teams to develop novel approaches to solving complex problems in applied AI.

Requirements

• 3+ years of building machine learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Skills

A strong 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.

Benefits

Amazon 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.

Pay

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.

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

Schedule

Full-time