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The Amazon Q Developer Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) agents and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.
Job Responsibility:
Advise team members on a range of machine learning topics
Work closely with software engineers to drive the delivery of end-to-end modeling solutions
Focus on ambiguous problem areas where the business problem or opportunity may not yet be defined
Take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve
Drive mindful discussions with customers, engineers, and scientist peers
Bring perspective and provide context for current technology choices
Make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome
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 have:
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience in building machine learning models for business application
What we offer:
Sign-on payments
Restricted stock units (RSUs)
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)