ML Engineer, II - Simulation Enablement
New
T
TorcAutonomous Vehicles
Remote in the United States and Canada.Full-TimeMiddle
Salary$153,200 — $183,800 USD
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Job Details
- Experience
- Bachelor's Degree plus 4+ years of experience, OR Master's Degree plus 2+ years of experience
- Required Skills
- PythonMachine Learning
Requirements
- Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related field plus 4+ years of experience, or Master's Degree plus 2+ years of experience.
- Strong Python skills.
- Experience building or operating data pipelines at scale.
- Experience working with simulation, replay, or model validation.
- Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning).
- Comfort working across cloud storage and compute.
- Strong cross-team communication skills.
- Bias toward hands-on problem solving.
Responsibilities
- Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams.
- Implement the end-to-end data flow including data ops, simulation environments, and persistent storage at scale.
- Onboard Autonomy models to execute replay/recompute workflows and subsequent metric evaluation.
- Ensure adoption of visualization tooling and provide UI/UX feedback for product development.
- Develop domain expertise on partner teams' models to own integrations.
- Debug full-stack issues from data ingestion to simulation execution and metrics.
- Translate feedback from Autonomy engineers into product requirements for the simulation roadmap.
- Document workflows and onboard new users to facilitate scaling.
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