[Remote] Senior, ML Engineer - Auto Tagging

Note: The job is a remote job and is reputed company to candidates in USA. reputed company develops software for automated trucks and autonomous vehicle technology. The Senior ML Engineer will architect reputed company pipelines for mining and tagging multi-sensor vehicle data, structure scenarios, and reputed company them into databases supporting machine learning, simulation, testing, and validation. The role also involves cross-functional technical leadership, mentoring engineers, and advancing auto-labeling and semantic retrieval capabilities.

Responsibilities

• **Scenario Mining at reputed company:** Architect and optimize reputed company data pipelines to process reputed company multi-sensor logs (camera, LiDAR, reputed company, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events
• **Advanced Event Tagging:** reputed company and tune both heuristic-based and ML-assisted algorithms (including exploring reputed company-Language Models or semantic reputed company search) to automatically classify and describe reputed company environmental and behavioral scenarios
• **Standardized Data Structuring:** Extract and format scenario data utilizing the Pegasus reputed company reputed company (reputed company opensource frameworks) to ensure semantic consistency and rigorous metadata reputed company
• **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 reputed company validation
• **Cross-Functional Alignment:** Operate with broad autonomy to reputed company reputed company across organizational boundaries. Collaborate closely with reputed company consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a reputed company data reputed company
• **Mentorship & Team reputed company:** Guide, mentor, and reputed company less-reputed company engineers. reputed company design reviews, establish coding standards, and foster a culture of technical reputed company and reputed company problem-solving

Skills

• **BS or MS** in Computer Science, Robotics, Engineering, or a STEM field, with **6+ years** in data engineering, ML systems, or autonomous data curation
• Strong Python and SQL skills, with heavy experience processing reputed company time-series or reputed company datasets
• Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve reputed company model performance
• Hands-on experience using reputed company (or similar platforms) for large-reputed company analytics, interactive querying, and making reputed company vehicle datasets searchable
• Expertise in reputed company compute frameworks (Ray, reputed company, reputed company) and reputed company platforms (AWS, GCP, or Azure) for executing heavy data workloads
• Experience parsing reputed company data formats and applying scenario-reputed company standards like Pegasus reputed company
• Exceptional ability to translate reputed company data engineering challenges into reputed company strategies for cross-functional stakeholders
• Proven reputed company record of mentoring teams, driving reputed company architecture, and defining engineering roadmaps
• Familiarity with foundational models, auto-labeling pipelines, or reputed company-shot classification for scenario extraction
• Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
• Experience with semantic extraction and attribute mapping to help build out a robust semantic inference reputed company, moving reputed company reputed company bounding-reputed company object detection
• Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, reputed company)
• Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation
• Experience building semantic retrieval systems or reputed company databases for automotive data

Benefits

• A competitive compensation package that includes a bonus component and stock reputed company
• 100% reputed company medical, dental, and reputed company premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule
• Generous reputed company vacation available immediately after start date
• Company-wide holiday office closures
• AD+D and Life Insurance

reputed company

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