Amazon.com-posted 3 months ago
$150,400 - $260,000/Yr
Full-time • Senior
Seattle, WA
5,001-10,000 employees
General Merchandise Retailers

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.

  • As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions.
  • Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined.
  • You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve.
  • You drive mindful discussions with customers, engineers, and scientist peers.
  • You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.
  • 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
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Experience in building machine learning models for business application
  • Comprehensive medical, financial, and other benefits
  • Equity and sign-on payments as part of total compensation package
  • Flexible working culture that values work-life harmony
  • Endless knowledge-sharing and mentorship opportunities
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