Senior ML Engineer – ML Ops Framework

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🕒 April 1

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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)) • Design organization wide systems and platforms for ML Ops. • Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders. • Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward. • You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.

🎯 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. • Experience with large scale distributed training, specifically working with Ray. • You are well versed in open-source software and make contributions. • You have built ML solutions that have reached production. • You feel comfortable with the data science and ML iteration/lifecycle. • You can balance multiple stakeholders when designing components of the ML development lifecycle. • Ideal: You are familiar with model optimizations/compression for edge deployment. • You have familiarity with compute and data platforms. • 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 • Experience in the autonomous vehicle (L4) or adjacent industry.

🏖️ Benefits

• A competitive compensation package that includes a bonus component and stock options • Medical, dental, and vision for full-time employees • RRSP plan with a 4% employer match • Public Transit Subsidy (Montreal area only) • Flexibility in schedule and generous paid vacation • Company-wide holiday office closures • Life Insurance