Senior Machine Learning Engineer, Neuro-Symbolic AI Labs
✨ AI Summary
Amazon is hiring a Senior Machine Learning Engineer for its Neuro-Symbolic AI Labs in Boston, MA, to build super-intelligent AI systems using proof assistants for learning and reasoning. The role involves defining and implementing neuro-symbolic applications in a startup-like agile environment, with close academic collaborations (MIT, CMU). Requires senior-level experience in machine learning, with a focus on scalable, efficient approaches and delivering high-quality scientific artifacts. No salary or remote policy mentioned.
We are looking for Machine Learning Engineers (MLE) who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research.
As a Senior MLE, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:
- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff.
- Deliver high-quality scientific artifacts.
About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, CMU).
About the Company
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