Torc Robotics - Senior, ML Engineer - Auto Tagger
Requirements
• BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation. • BS or MS • 6+ years • Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets. • Core Languages: • ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance. • ML & Dataset Curation: • Data Exploration: Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable. • Data Exploration: • Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads. • Cloud & Compute: • AV Standards: Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. • AV Standards: • Communication: Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders. • Communication: • Technical Leadership: Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps. • Technical Leadership: • Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction. • Auto-labeling & VLMs: • Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference • Model Serving: • Semantic Inference: Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection. • Semantic Inference: • Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow). • Data Tooling: • Downstream Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation. • Downstream Integration: • Advanced Retrieval: Experience building semantic retrieval systems or vector databases for automotive data. • Advanced Retrieval:
Responsibilities
• Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events. • Scenario Mining at Scale: • Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios. • Advanced Event Tagging: • Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity. • Standardized Data Structuring: • Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation. • Data Flywheel Integration: • Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop. • Cross-Functional Alignment: • Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving. • Mentorship & Team Growth:
Benefits
• Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • 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) • Company-wide holiday office closures • AD+D and Life Insurance • At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. • Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, 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. • Job ID: R-102717 • Job ID: • Hiring Range for Job Opening • $177,300—$212,800 USD
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