Driving hands-on adoption of the Torc Sim platform, the full-time remote Machine Learning Engineer will act as the embedded point of contact between Dataloop + Simulation and Autonomy teams, ensuring scalable execution of replay/recompute workflows and effective visualization of metrics. Key responsibilities Implement the end-to-end data flow and onboard Autonomy models for scalable execution and metric evaluation Debug issues across the full stack, translating feedback from Autonomy engineers into product roadmap requirements Document workflows and onboard new users to facilitate broader adoption of the simulation tools Required qualifications Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with 4+ years of experience, or a Master's degree with 2+ years of experience Strong Python skills and experience building or operating data pipelines at scale Experience with simulation, replay, or model validation in autonomy or robotics contexts Familiarity with autonomy or robotics ML models, including perception, tracking, prediction, or planning Comfort working across cloud storage and compute environments