ML Engineer I – MLOps Framework

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $132.4k / year

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

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

• Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise • Assist in debugging model development workflows and identifying root causes across the ML stack • Collaborate with senior engineers to improve tooling, documentation, and operational processes • Communicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization • Support the day-to-day operations of Torc's model development ecosystem • Help maintain pipelines and ensure engineers have the resources needed to develop and deploy models reliably at scale

🎯 Requirements

• Bachelor's Degree in Computer Science, Electrical Engineering, Robotics, or related field plus 1+ years of relevant experience; or equivalent practical experience • Proficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines • Experience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration • Strong debugging and problem-solving skills with an ability to triage issues under pressure • Clear communicator who can work across teams and translate technical issues for different audiences • Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas) is a bonus • Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker) is a bonus • Infrastructure-as-code experience (Terraform) is a bonus • Experience with edge deployment or embedded hardware is a bonus • Exposure to autonomous driving or robotics ML workflows is a bonus

🏖️ 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 • Potential sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package