Senior, ML Engineer

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we focus solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team Our Pseudo‑Labeling team’s goal is to create high‑quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, etc. These annotations are then used by different downstream users—perception teams to train models and simulation teams to generate new data. What You’ll Do Design, implement, test and deploy offline object detection, tracking, and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars). Demonstrate project‑management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. Stay up to date with the latest developments in AI and ML for autonomous driving. Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re‑using existing code, implementing version control, and maintaining documentation of created applications. Define and implement ingestion, data preparation, curation, and governance of large, multi‑faceted data sets supporting analytics models and workflows. Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation. Measure and track auto‑labeling quality to meet internal customer requirements. Guide and produce information products, supporting visualization and data accessibility in a customer‑centric manner. Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members. What You’ll Need to Succeed Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group. Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience. Required qualifications (some combination of the following skills): Active Learning & Pseudo‑labeling – Computer Vision, Deep Learning, Model training. Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV. Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFlow, Weights & Biases, ML Metrics and Evaluation / Quality. Distributed machine learning frameworks – PyTorch, Lightning, Ray. Model Data Curation – Parquet data processing (PyArrow, Daft, Pandas, etc). Development Tools & Ecosystem (at scale) – Proficiency in Python software development. Also, VDI and cloud‑based development environments, CI Systems (GitHub Actions), and Docker. Bonus Points Data operations and management at scale – Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). Data Visualization – Integration with tooling such as OpenGL, 3.js, Foxglove, 51, Tableau. Cloud Development – Python (proficient), Terraform, AWS Managed Services (e.g., S3, ECS, Lambda, Dynamo, Step Functions, Athena). Cloud‑based orchestration and resource management – AWS Hyperpods, Anyscale, etc. Model inference orchestration. Knowledge of English is required since the selected candidate will need to collaborate daily with English‑speaking colleagues in the United States and work with technical documentation written exclusively in English. Perks of Being a Full‑time Torc’er (Canada) 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. At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’er’s and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job‑related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign‑on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Hiring Range for Job Opening – Canada Pay Range: $141,500 – $212,300 CAD Job ID: #J-18808-Ljbffr