$177,300 – $212,800
Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead machine learning engineering efforts to build automated data pipelines that extract safety-critical driving scenarios from autonomous vehicle sensor logs and structure them for training and validation. This role suits experienced ML engineers who excel at scaling data systems and want to directly impact autonomous trucking safety.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related field plus 6+ years experience (or Master's plus 3+ years, or PhD plus 1+ year)
- Strong Python and SQL skills
- Hands-on machine learning and dataset curation experience
- Experience with Databricks or similar platforms for large-scale analytics
- Expertise in distributed compute frameworks and cloud platforms
- Experience with complex data formats and scenario-description standards like Pegasus
- Exceptional communication and technical leadership with proven mentoring track record
Nice to have
- Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification
- Experience with vLLM, SGLang, or similar model serving frameworks
- Experience with semantic extraction and attribute mapping
- Familiarity with robotics data formats and high-performance columnar storage optimization
- Knowledge of generative simulation workflows, neural rendering, or sensor fusion validation
- Experience building semantic retrieval systems or vector databases