New 
Research Engineer - Embodied AI/Robotics
 Microsoft | |
 United States, Washington, Redmond | |
 Dec 25, 2024 | |
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OverviewMicrosoft Research Accelerator works with the world's best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world's toughest challenges and improve the lives of people everywhere. We are looking for a Research Engineer who is passionate about developing new systems and transforming the latest machine learning models from concepts into reality. In this role you will drive the development of infrastructure for supporting demonstrations and evaluation of Embodied Artificial Intelligence (AI) systems. This includes creating pipelines for collecting data, running benchmarks, and evaluating embodied AI algorithms. Some examples of this work include the post-training of Robotic Foundation Models and the design of Reinforcement Learning frameworks. Additional duties include integrating and deploying these models onto robot systems both in simulation and hardware platforms. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesLead the design and implementation of machine learning systems as part of an ambitious, high-impact research agenda, within the context of a highly collaborative research culture throughout all stages of the research and development cycle. This includes, for example, development of highly scalable research infrastructure, data handling, model development and resource management. Work with engineering teams to perform end to end integration of ML platforms onto robotic systems. Analyze and refine training datasets for robotic and AI applications. Developing benchmarks and evaluation procedures for state of the art models. Stay up-to-date with the latest advancements in machine learning and related fields. Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions Instill best practices for software development and documentation.Embody our culture and values. | |