Senior, ML Engineer - Auto Tagger
Torc Robotics3 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, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated trucks to improve the safety and efficiency of transporting goods. We are experts in providing autonomous vehicle solutions and we partner with other industry leaders to bring this new technology to work in the real world. Our mission is to drive the future of freight through safer roads and the efficient transport of critical goods. #TorcDriven #TorcRobotics