[Remote] Senior, ML Engineer - Auto Tagger

Note: The job is a remote job and is open to candidates in USA. reputed company is a leader in autonomous driving technology focused 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 Scale: 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 Vision-Language Models or semantic vector search) to automatically classify and describe reputed company environmental and behavioral scenarios
• Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (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 Growth: Guide, mentor, and reputed company less-reputed company engineers. reputed company design reviews, establish coding standards, and foster a culture of technical excellence and collaborative 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-scale analytics, interactive querying, and making massive vehicle datasets searchable
• Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads
• AV Standards: Experience parsing reputed company data formats and applying scenario-description standards like Pegasus layers
• Communication: Exceptional ability to translate reputed company data engineering challenges into clear strategies for cross-functional stakeholders
• Technical Leadership: Proven track 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 beyond standard bounding-reputed company object detection
• Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow)
• 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 vector databases for automotive data

Benefits

• 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 (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 addition to a full range of medical, financial, and/or other benefits

Company Overview

Company H1B Sponsorship