Remote ML Engineer: Autonomy Simulation & Data Pipelines

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

Benefits offered by this job

Bonus + stock options

100% paid medical, dental & vision

401K with 6% match

Flexible schedule & paid vacation

Company holidays & life insurance

Job summary

Torc Robotics, Inc. is hiring a Machine Learning Engineer to join the Dataloop + Simulation group, embedding with one or two Autonomy teams to drive Torc Sim adoption.

You will ensure replay/recompute jobs run at scale, make metrics interpretable, and help engineers visualize model behavior. You will own model integrations and guide data-ops through scalable pipelines, with a focus on Perception, Tracking, or other autonomy models.

Qualifications

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field; typically 4+ years of experience, OR Master's Degree + 2+ years of experience.
• Strong Python skills and experience building or operating data pipelines at scale.
• Experience with simulation, replay, or model validation.
• Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume.
• Comfort working across cloud storage and compute.
• Strong cross-team communication skills—translating between a platform team and embedded Autonomy teams.
• Bias toward hands-on problem solving: debugging data pipelines and explaining metric discrepancies.

Responsibilities

• Act as the embedded point of contact between Dataloop + Simulation and Autonomy teams, driving adoption of Torc Sim.
• Implement end-to-end data flow: data ops platform → simulation environment → persistent storage at scale.
• Onboard Autonomy models to execute replay/recompute workflows and evaluate metrics.
• Ensure adoption of visualization tooling and drive UI/UX improvements for the backlog.
• Become a domain expert on models partnered with to implement and own integrations.
• Debug issues spanning data ingestion, simulation execution, storage, and metrics to resolution.
• Translate feedback into concrete product roadmap requirements.
• Document workflows and onboard new users to scale adoption.

Skills

Python

Data pipelines

Cloud storage

Autonomy ML models

Model validation

Cross-team communication

Education

Bachelor's degree in CS/Robotics/EE

Master's degree +2 years optional

Tools

Simulation frameworks

Foxglove/OpenGL/Three.js

PyArrow/Pandas

Job description

Torc Robotics, Inc. is hiring a Machine Learning Engineer to join the Dataloop + Simulation group, embedding with one or two Autonomy teams to drive Torc Sim adoption.

You will ensure replay/recompute jobs run at scale, make metrics interpretable, and help engineers visualize model behavior. You will own model integrations and guide data-ops through scalable pipelines, with a focus on Perception, Tracking, or other autonomy models.