ML Engineer II - Autonomous Simulation & Data Pipelines

Torc Robotics; Ann Arbor (MI); Hybrid; USD 153,000 - 184,000; Full time

Benefits offered by this job

Stock options

Medical/dental/vision coverage

401K with match

Paid vacation

Holiday office closures

AD+D & Life Insurance

Job summary

Torc Robotics is hiring a Machine Learning Engineer to sit at the center of Torc Sim growth. You will ensure replay/recompute jobs run at scale, make metrics interpretable, and act as the expert on autonomy models for one or two teams.

You will report to Dataloop + Simulation and collaborate with Autonomy teams to translate feedback into concrete data pipeline and integration work, accelerating platform adoption.

Qualifications

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field with 4+ years of experience, or Master's with 2+ years.
• Strong Python skills and experience building or operating data pipelines at scale.
• Experience with simulation, replay, or model validation.
• Familiarity with autonomy/robotics ML models and the data they consume.
• Comfort working across cloud storage and compute.
• Excellent cross-team communication to translate between platform and embedded teams.
• A bias toward hands-on problem solving and debugging end-to-end pipelines.

Responsibilities

• Act as the embedded point of contact between Dataloop + Simulation and Autonomy teams to drive Torc Sim adoption.
• Implement end-to-end data flow: data ops → simulation env → scalable storage.
• Onboard Autonomy models to run replay/recompute workflows and evaluate metrics.
• Ensure visualization tooling adoption and propose UI/UX improvements for the backlog.
• Become domain expert on models (perception, tracking, etc.) to drive integrations.
• Debug issues spanning data ingestion, simulation execution, storage, and metrics.
• Translate feedback into concrete roadmap requirements for the platform.
• Document workflows and onboard new users to scale adoption.

Skills

Python

Data pipelines

Cross-team communication

Hands-on problem solving

Model validation

Autonomy ML models

Cloud storage/compute

Education

Bachelor's Degree in CS/Robotics/Engineering

4+ years of experience (or Master's +2)

Tools

PyArrow

Pandas

Parquet

Job description

Torc Robotics is hiring a Machine Learning Engineer to sit at the center of Torc Sim growth. You will ensure replay/recompute jobs run at scale, make metrics interpretable, and act as the expert on autonomy models for one or two teams.

You will report to Dataloop + Simulation and collaborate with Autonomy teams to translate feedback into concrete data pipeline and integration work, accelerating platform adoption.