Sr. Applied Scientist, CAIT
Amazon Web Services, Inc.•2h ago
United StatesOnsite$167.1K–$226.1KFull-timeSenior Level3+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Applied Scientist
- 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 adoption 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
- innovative approaches to optimizing customer token costs, just to name a few. A successful candidate will have a strong machine learning background, a deep understanding of the AI stack
- 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 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. As an Applied Scientist, you will leverage your technical expertise to set the research agenda for how we measure conversational quality, mentor engineers and architects
- partner across science, engineering
- business teams. You will analyze and understand customer experiences and develop novel approaches to solving complex problems in applied AI.
- 3+ years of building machine learning models for business application experience - PhD
- 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
- 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Required skills
machine learningJavaC++PythonRscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSpark