Torc Robotics
ML Engineer, II - Perception
Remote - US, Ann Arbor, MI · Mid
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About the role
- You will be the person who makes sure a model team's replay/recompute jobs run at scale, that the metrics coming out are interpretable and auditable, and that engineers can visualize what their model is doing.
Responsibilities
- Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics - and drive them to resolution
- Document workflows and onboard new users so adoption scales beyond your own hands-on support
- Strong Python skills and experience building or operating data pipelines at scale
- Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale
- A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.
Requirements
- Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically
- Experience with simulation or replay frameworks for autonomous vehicles or robotics
- 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)
- 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
Benefits
- Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Company info
- At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
- Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
- Meet the Team
- Torc Sim is the simulation platform built by our Dataloop + Simulation division to help Autonomy teams replay, recompute, evaluate, and visualize their models against real and synthetic driving data at scale.
- It is the backbone that turns a logged drive into a repeatable, measurable experiment, and we are working to scale our impact across all our Autonomy users.
- We are hiring a Machine Learning Engineer to sit at the center of that growth: reporting to Dataloop + Simulation but living day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside.
- Along the way, you will become the resident expert on whichever model you are partnered with, whether Perception or Behavior models, so you fluently translate between "simulation platform" and "autonomy model."
This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.