Amazon Web Services
Senior Applied Scientist, SageMaker AI
US, GA, Atlanta · 1mo ago
Not specified3+ YOE
Quick summary
AI parsed- Experience
- 3+ years building ML models for business applications; PhD or Master's degree + 6+ years applied research; Programming: Java, C++, Python; Neural deep learning and ML; Tools: R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy; Large scale distributed systems: Hadoop, Spark
- Salary
- USA, GA, Atlanta: $167,100 - $226,100 USD annually; USA, NY, New York: $183,800 - $248,700 USD annually
Responsibilities
- Develop innovative solutions to hard problems in AI/ML
- Partner with technology and business teams to solve real-world problems
- Publish findings at peer reviewed conferences and workshops
- Build next generation tools to enable custom AI/ML solutions for customers
Benefits
Health insurance (medical, dental, vision, prescription, basic life & AD&D, supplemental life plans) · EAP and mental health support · Medical advice line · Flexible spending accounts · Adoption and surrogacy reimbursement · 401(k) matching · Paid time off · Parental leave
Full description
Come join the AWS SageMaker science team in building the next generation tools to enable custom AI/ML solutions for customers. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computa…