Senior, ML Engineer - Auto Tagger
Torc Robotics5 months ago
Base Salary
$177k - $213k/yr
Responsibilities
- Architect and optimize distributed pipelines that process multimodal camera, LiDAR, radar, and kinematics logs
- Develop heuristic-based and ML-assisted algorithms to classify and describe complex driving scenarios
- Extract and format scenario data using the Pegasus layer standard and maintain metadata integrity
- Ingest tagged events into the observations database for fast querying, ML training, regression testing, and system validation
- Collaborate with perception, simulation, and systems-engineering teams to define and operationalize interesting scenarios
- Drive technical alignment across organizational boundaries with broad autonomy
- Mentor engineers, lead design reviews, establish coding standards, and promote technical excellence
Requirements
- BS or MS in Computer Science, Robotics, Engineering, or another STEM field
- 6+ years of experience in data engineering, ML systems, or autonomous data curation
- Strong Python and SQL skills with experience processing massive time-series or unstructured datasets
- Hands-on machine-learning and dataset-curation experience with measurable downstream model improvements
- Experience with Databricks or similar platforms for large-scale analytics and querying
- Expertise with distributed compute frameworks such as Ray, Spark, or Beam
- Experience with AWS, GCP, or Azure for heavy data workloads
- Experience parsing complex data formats and applying scenario-description standards such as Pegasus layers
- Exceptional communication skills for translating complex data-engineering challenges into strategies for cross-functional stakeholders
- Proven technical leadership, including mentoring, system architecture, and engineering-roadmap definition
- Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification
- Experience with vLLM, SGLang, or similar high-throughput model-serving frameworks
- Experience with semantic extraction, attribute mapping, semantic retrieval systems, or vector databases
- Familiarity with ROS bags, MCAP, Parquet, and Arrow
- Knowledge of generative simulation, neural rendering, or sensor-fusion validation workflows
Benefits
- Competitive compensation package with bonus and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401(k) plan with a 6% employer match
- Flexible schedule and generous paid vacation available immediately after start date
- Company-wide holiday office closures
- AD&D and life insurance
Tech Stack
Categories
Data EngineeringML Engineering
About Torc Robotics
Torc Robotics develops autonomous driving software for heavy-duty trucks, offering a full self-driving stack, mapping, and perception for freight carriers and OEMs. Founded in 2005 and headquartered in Blacksburg, Virginia, it was acquired by Daimler Truck in 2019. As a subsidiary, Torc focuses on commercializing Level 4 trucking with its parent’s vehicle platforms and industry partnerships in North American freight transport.