ML Engineer II - Autonomy Simulation (Remote)

Torc Robotics; United States; Remote; USD 153,000 - 184,000; Full time

Benefits offered by this job

Stock options

100% paid medical, dental, and vision

401K with 6% employer match

Flexible schedule and generous paidvac

Company-wide holiday office closures

AD+D and Life Insurance

Job summary

Torc Robotics is hiring a Machine Learning Engineer to sit at the center of Torc Sim growth. You will be embedded with Autonomy teams to drive adoption, ensure scale of replay/recompute workflows, and keep metrics interpretable across the platform and robotics ML models.

You will translate between simulation platform needs and autonomy model development, while improving visualization and data pipelines to support scalable autonomous trucking research.

Qualifications

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related field plus 4+ years of experience OR Master’s Degree with 0-3+ years of experience.
• Strong Python skills and 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) and the data they consume.
• Comfort working across cloud storage and compute.
• Strong cross-team communication skills — translating between a platform team and autonomy teams.

Responsibilities

• Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim.
• Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale.
• Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation.
• Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog.
• Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking).
• Debug issues spanning data ingestion, simulation execution, and storage/metrics; drive them to resolution.
• Translate feedback from Autonomy engineers into concrete requirements for the product roadmap.
• Document workflows and onboard new users to scale adoption.

Skills

Python

Data pipelines

Simulation/validation

Autonomy ML models

Cloud storage/compute

Cross-team communication

Hands-on problem solving

Education

Bachelor's or Master’s degree in CS/Robotics/EE or related field

Tools

Foxglove

OpenGL

Three.js

PyArrow

Pandas

Ray

Terraform

GitHub Actions

Job description

Torc Robotics is hiring a Machine Learning Engineer to sit at the center of Torc Sim growth. You will be embedded with Autonomy teams to drive adoption, ensure scale of replay/recompute workflows, and keep metrics interpretable across the platform and robotics ML models.

You will translate between simulation platform needs and autonomy model development, while improving visualization and data pipelines to support scalable autonomous trucking research.