Machine Learning Engineer

Job Summary

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