Senior ML Engineer – ML Ops Framework

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🕒 November 25, 2025

🇺🇸 United States – Remote

💵 $156k - $234k / 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

• You will work to build, maintain and improve our Torc ML frameworks including the following tools: • Cloud tooling: Terraform, AWS Managed Services, EKS, Ray • Data ops: Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS • ML Development pipeline: Python, Ray, PyTorch, Lightning, Gymnasium • Logging & aggregation, Experiment tracking, Model registry & lineage • Visualization & dashboarding (e.g., tableau, voxel51, rerun)

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience • Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience • You have built things with Ray and want to evangelize its usage • You keep up with open-source software for machine learning at scale • You have built ML solutions that have reached production • You feel comfortable with the data science and ML iteration/lifecycle • Ideal: You are familiar with model optimizations/compression for edge deployment • You have familiarity with compute and data platforms • You understand how to build ML systems that scale • You want to build, maintain, grow, and improve our ML platform • You know that a healthy software deployment requires mature software practices • Ideal: You love to speak with users and help them reach their goals

🏖️ 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) • AD+D and Life Insurance