ML Engineer, II – Simulation Enablement

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🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $153.2k - $183.8k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 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

• Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim • Implement the end-to-end data flow from the data operations platform through the simulation environment to persistent storage at scale • Onboard Autonomy models to execute replay/recompute workflows at scale and perform subsequent metric evaluation • Ensure adoption of visualization tooling and provide UI/UX improvements for the development backlog • Become a domain expert on partner-team models and own their integrations • Debug issues across data ingestion, simulation execution, storage, and metrics, driving them to resolution • Translate feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap • Document workflows and onboard new users so adoption scales beyond hands-on support

🎯 Requirements

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related technical field plus competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience • Strong Python skills • Experience building or operating data pipelines at scale • Experience with simulation, replay, or model validation • Familiarity with autonomy or robotics ML models and their data • Comfort working across cloud storage and compute • Strong cross-team communication skills • Hands-on problem-solving ability • Bonus: prior forward-deployed engineer, solutions engineer, or embedded platform experience • Bonus: experience with Camera, Lidar, Vehicle Intent, or Object Tracking models • Bonus: experience with autonomous-vehicle or robotics simulation/replay frameworks • Bonus: familiarity with Foxglove, OpenGL, or Three.js • Bonus: experience with MCAP, Parquet, PyArrow, Daft, or Pandas • Bonus: experience with Ray, Anyscale, or AWS HyperPods • Bonus: Terraform and GitHub Actions experience

🏖️ 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 • Generous paid vacation available immediately after start date • Company-wide holiday office closures • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation as part of the total compensation package • Medical, financial, and/or other benefits