Seeking a Senior Applied Scientist for a Robotics Simulation team to develop physics-based environments and tools supporting robotics research and machine learning.
Responsibilities include mentoring scientists, establishing simulation processes for reinforcement learning and synthetic data, integrating robotics features like sensors and controllers, creating workflows for dynamic environments, and reducing sim-to-real gaps through domain randomization.
Collaboration with ML teams to enable large-scale training pipelines is essential.
Qualifications include a PhD or Master's with 6+ years of research experience, programming skills (Java, C++, Python), and experience with neural networks and machine learning.
Preferred skills involve expertise in physics simulators, sim2real transfer, robotics, reinforcement learning, and ROS2.
Benefits include health coverage, parental leave, PTO, and 401(k). The role offers an opportunity to advance robotics simulation technology within a collaborative environment.