Sr. Applied Science , AWS Agentic AI

Amazon • Santa Clara, CA

81d • $150,400 - $260,000

About The Position

Come join the AWS AI science team in building the next generation models for intelligent automation. 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 computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.

Requirements

• 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 with neural deep learning methods and machine learning.

Nice To Haves

• 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.

Responsibilities

• Develop innovative solutions to hard problems in AI and machine learning.
• Publish findings at peer-reviewed conferences and workshops.
• Collaborate with technology and business teams to solve real-world problems.
• Work with large multimodal models, reinforcement learning, and sequential decision making.

Benefits

• Comprehensive medical, financial, and other benefits.
• Equity and sign-on payments may be provided as part of a total compensation package.
• Mentorship and career growth opportunities.
• Work-life balance and flexibility.

What This Job Offers

• Career Level: Mid Level
• Education Level: Ph.D. or professional degree