Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field
Strong Python proficiency and working knowledge of ROS2
Familiarity with Docker and other DevOps tools
Experience with cloud storage and compute (AWS - S3, EC2, etc.)
Understanding of ML workflows and dataset versioning
Responsibilities
Build and maintain data pipelines to ingest field data from the fleet
Convert raw field data into curated, versioned datasets for the perception team
Set up training workflows and optimize cloud costs
Build tooling to accelerate perception engineers' workflows
Generate metrics and diagnostics to track dataset health and model performance
Benefits
Onsite work environment in Toronto
Opportunity to work with cutting-edge robotics and autonomous systems
Collaborative team culture focused on innovation
Access to advanced tools and technologies for data management
Potential for professional growth in MLOps and data infrastructure
Full Job Description
You will
Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet
Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets
Set up training workflows and optimize cloud costs
Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines
Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability
You have
Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field
Strong Python proficiency and working knowledge of ROS2
Working knowledge of docker and other DevOps tools
Familiarity with cloud storage and compute (AWS - S3, EC2, etc.)
Understanding of ML workflows and dataset versioning
We Prefer
Master's in Computer Science, Robotics, or a related discipline
2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems
Experience with Weights & Biases, rosbag data, and large-scale sensor datasets
Working knowledge of C/C++
Experience supporting perception or ML research teams
Please note this role will be based onsite in Toronto
