Torc Robotics

Senior, ML Engineer - ML Ops Framework

Remote - Canada, Montreal, Canada · Senior · Full-time

Sponsorship not specified$199k-$299kDetected 5 days ago

PythonVector DatabasesAWSTerraformMachine LearningPyTorchPandasData ScienceData VisualizationMLOpsA/B TestingCollaboration

About the role

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 are focused solely on developing software for automated trucks to transform how the world moves freight.

You will work to build, maintain and improve our Torc ML frameworks including the following tools:
Design organization wide systems and platforms for ML Ops.
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.
You want to build, maintain, grow, and improve our ML platform.
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 are focused solely on developing software for automated trucks to transform how the world moves freight.

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 can balance multiple stakeholders when designing components of the ML development lifecycle.
You have familiarity with compute and data platforms.
Ideal: You are familiar with model optimizations/compression for edge deployment.
You know that a healthy software deployment requires mature software practices

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)
Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.

A competitive compensation package that includes a bonus component and stock options

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.
A competitive compensation package that includes a bonus component and stock options
Medical, dental, and vision for full-time employees
Flexibility in schedule and generous paid vacation
Company-wide holiday office closures

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
Meet The Team:
Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale.
We are the team responsible for enabling the full ML experimentation process, from ideation, to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format.
We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight.

This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.