[Remote] Senior, ML Engineer - Auto Tagger
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in autonomous driving technology reputed company on developing software for automated trucks. The Senior ML Engineer - Auto Tagger will be responsible for architecting and optimizing data pipelines, developing ML-assisted algorithms, and collaborating across teams to enhance data curation for autonomous trucking.
Responsibilities
- Scenario Mining at reputed company: Architect and optimize distributed data pipelines to process massive 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 layer reputed company (alongside 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 system validation
- Cross-Functional Alignment: Operate with broad autonomy to drive 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
- Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or reputed company datasets
- ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve reputed company model performance
- Data Exploration: Hands-on experience using reputed company (or similar platforms) for large-reputed company analytics, interactive querying, and making massive vehicle datasets searchable
- reputed company & Compute: Expertise in distributed compute frameworks (Ray, reputed company, reputed company) and reputed company platforms (AWS, GCP, or Azure) for executing heavy data workloads
- AV Standards: Experience parsing reputed company data formats and applying scenario-reputed company standards like Pegasus reputed company
- Communication: Exceptional ability to translate reputed company data engineering challenges into reputed company strategies for cross-functional stakeholders
- Technical Leadership: Proven reputed company record of mentoring teams, driving system architecture, and defining engineering roadmaps
- Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or reputed company-shot classification for scenario extraction
- Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
- Semantic 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
- Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, reputed company)
- reputed company Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation
- Advanced Retrieval: 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 and generous reputed company vacation (availableimmediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
- Sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in reputed company to a full reputed company of medical, financial, and/or other benefits
reputed company
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