Amazon is looking to build applied AI solutions that businesses love and trust for their day-to-day success, and become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed.
Requirements
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience using managed ML/AI solutions
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- 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
- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI
- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
- Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- Communicate results and insights to both technical and non-technical audiences
Other
- PhD, or Master's degree and 6+ years of applied research experience
- Work/Life Balance: Achieving success at work should never come at the expense of sacrifices at home
- Mentorship & Career Growth: Endless knowledge-sharing, mentorship and other career-advancing resources
- Inclusive Team Culture: Curiosity and connection, employee-led and company-sponsored affinity groups
- Travel requirements not specified, but job locations include USA, WA, Seattle and USA, NY, New York
