Torc Robotics · 1 month ago
Senior, ML Engineer - Offline Perception
United States
Full-time
Remote
Senior Level, Lead/Staff
CA$199K/yr - CA$299K/yr
1+ years expTorc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The Senior ML Engineer will design and implement offline object detection and tracking modules, guide team members, and enhance data processing for analytics models.
TransportationRoboticsSoftwareAutonomous Vehicles
Responsibilities
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)
Demonstrated 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
Qualification
Required
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
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 and 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 & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker
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
Preferred
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 level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena)
Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration
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
Company
Torc Robotics
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships
501-1000 employees
H1B Sponsorship
Torc Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
94%
Represents job field similar to this job
Engineering and Development
Product Management
Customer Service and Support
Management and Executive
Creatives and Design
Marketing
Trends of Total Sponsorships
*2026 (18)
2025 (97)
2024 (41)
2023 (33)
2022 (39)
2021 (14)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-29Acquired
Leadership Team
Peter Schmidt
CEO
Tobias Wessels
Chief Financial Officer
Recent News
2026-05-12
Morningstar.com
2026-05-06
Company data provided by crunchbase