ML Engineer, II - Perception

Remote - USfull timeRemote

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mid

$153k–$184k

H1B: yes

Torc Robotics ML Engineer II - Perception at Torc Robotics supports adoption and scaling of the Torc Sim simulation platform for autonomy teams. The role involves implementing data flows, onboarding models for replay/recompute workflows, and driving visualization tooling improvements.

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) so you can implement and own integrations
Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics — and drive them to resolution
Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap
Document workflows and onboard new users so adoption scales beyond your own hands-on support

Qualification

Bachelor’s Degree in Computer ScienceExperience working with simulationA bias toward hands-on problem solvingHands-on experience with CameraWork Location

Required

Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience OR Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 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 — you'll be translating between a platform team and one or two embedded Autonomy teams on a daily basis
A bias toward hands-on problem solving: you're as comfortable debugging a broken data pipeline as you are explaining a metric discrepancy to a model owner

Preferred

Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role
Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically
Experience with simulation or replay frameworks for autonomous vehicles or robotics
Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js
Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)
Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods)
Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions)
Work Location: For this position, we are hiring Remote in the United States and Canada.

Benefits

Dental
Vision
401(k)
Equity/RSU
Life Insurance

Company

Torc Robotics

View company page

Source: greenhouse

Active within the past hour

Remote-friendly

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