Torc Robotics · 4 weeks ago
Senior, ML Engineer - ML Ops Framework
United States
Full-time
Remote
Senior Level
$199K/yr - $299K/yr
3+ years expTorc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. The Senior ML Engineer will build and improve ML frameworks, drive collaboration within the AI Division, and contribute to the development of advanced autonomous vehicle solutions.
TransportationRoboticsSoftwareAutonomous Vehicles
Responsibilities
You will work to build, maintain and improve our Torc ML frameworks including the following tools:
Cloud tooling
Terraform, AWS Managed Services, EKS, Ray
Data ops
Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
ML Development pipeline
Python, Ray, PyTorch, Lightning, Gymnasium
Logging & aggregation, Experiment tracking, Model registry & lineage
Visualization & dashboarding (e.g., tableau, voxel51, rerun)
Design organization wide systems and platforms for ML Ops
Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders
Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward
You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
Master's degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
Experience with large scale distributed training, specifically working with Ray
You are well versed in open-source software and make contributions
You have built ML solutions that have reached production
You feel comfortable with the data science and ML iteration/lifecycle
You can balance multiple stakeholders when designing components of the ML development lifecycle
You have familiarity with compute and data platforms
You understand how to build ML systems that scale
You have experience making tradeoffs for speed of development
You want to build, maintain, grow, and improve our ML platform
You know that a healthy software deployment requires mature software practices
Experience in the autonomous vehicle (L4) or adjacent industry
Preferred
Ideal: You are familiar with model optimizations/compression for edge deployment
Ideal: You love to speak with users and help them reach their goals
Bonus Points! Reinforcement Learning for physical AI
Bonus Points! Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
Bonus Points! Contribute to open source software and speaking at seminars or conferences
Benefits
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
AD+D and Life Insurance
Corporate bonus and stock option plan
Sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
Company
Torc Robotics
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships
501-1000 employees
H1B Sponsorship
Torc Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
94%
Represents job field similar to this job
Engineering and Development
Product Management
Customer Service and Support
Management and Executive
Creatives and Design
Marketing
Trends of Total Sponsorships
*2026 (18)
2025 (97)
2024 (41)
2023 (33)
2022 (39)
2021 (14)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-29Acquired
Leadership Team
Peter Schmidt
CEO
Tobias Wessels
Chief Financial Officer
Recent News
2026-05-12
Morningstar.com
2026-05-06
Company data provided by crunchbase