Senior ML Engineer – Auto Tagger

Job not on LinkedIn

🕒 May 20

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $177.3k - $212.8k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚗 Transport

🔧 Hardware

🤖 Artificial Intelligence

Transport • Hardware • Artificial Intelligence

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

📋 Description

• Architect and optimize distributed data pipelines to process massive multi-sensor logs. • Develop and tune both heuristic-based and ML-assisted algorithms to automatically classify and describe complex scenarios. • Extract and format scenario data utilizing the Pegasus layer standard to ensure semantic consistency. • Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training. • Operate with broad autonomy to drive consensus across organizational boundaries, collaborating with downstream consumers. • Guide, mentor, and elevate less-experienced engineers.

🎯 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. • Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets. • Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance. • Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable. • Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads. • Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. • Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders. • Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.

🏖️ 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 (available immediately after start date) • Company-wide holiday office closures • AD+D and Life Insurance