Microsoft Research Accelerator is seeking a Research Engineer to join their innovative team working on Embodied Artificial Intelligence (AI) and Robotics. This role combines cutting-edge machine learning research with practical robotics applications, offering an exciting opportunity to shape the future of AI systems.
The position involves developing infrastructure for supporting demonstrations and evaluation of Embodied AI systems, including creating pipelines for data collection, running benchmarks, and evaluating embodied AI algorithms. You'll work with post-training of Robotic Foundation Models and design Reinforcement Learning frameworks, while also integrating these models onto both simulated and hardware robot platforms.
The ideal candidate will have a strong background in machine learning and software engineering, with experience in implementing deep learning models and working with robotics systems. The role requires proficiency in Python and deep learning frameworks, along with a solid understanding of reinforcement learning approaches.
Microsoft offers a competitive compensation package with a base salary range of $98,300 - $193,200, comprehensive benefits including healthcare, educational resources, and parental leave. The position is hybrid-based in Redmond, WA, with up to 50% work from home flexibility.
This is an excellent opportunity for someone passionate about advancing the field of embodied AI and robotics while working with world-class researchers at one of the leading technology companies. The role combines theoretical machine learning knowledge with practical implementation, offering a chance to make significant contributions to the future of robotics and AI systems.