Machine Learning Engineer

The Robotics and AI Institute is seeking a Machine Learning Engineer to join their Cambridge, MA office, focusing on advancing machine intelligence through robotics applications. This role sits at the intersection of cutting-edge research and practical implementation, where you'll develop and deploy sophisticated machine learning models for robotic systems. The position offers an opportunity to work in a fast-paced, intellectually stimulating environment alongside research and engineering teams.

The ideal candidate will have extensive experience in machine learning, particularly in areas like transformers, diffusion models, and multimodal modeling. You'll be responsible for building and maintaining ML pipelines, from training to deployment, while ensuring high-quality code through best practices and peer reviews. The role requires both technical expertise and collaborative skills, as you'll work across teams to design and implement robust model architectures.

The institute values additional expertise in advanced ML techniques such as reinforcement learning, simulation experience with tools like MuJoCo, and proficiency in MLOps practices. This is an excellent opportunity for someone passionate about pushing the boundaries of AI and robotics, with the potential to contribute to groundbreaking advancements that will shape the future of intelligent machines.

Working at the Robotics and AI Institute means being part of a mission to solve fundamental challenges in AI and robotics, with the goal of creating intelligent machines that improve human lives. The institute offers a collaborative, dynamic environment where creative solutions and cutting-edge research come together to drive innovation in the field of robotics and artificial intelligence.