MLOps Engineer (Robotics)

Location: Onsite in Toronto, Canada

Salary: CAD 123,828–154,785 per year, plus equity

Company

hirify.global is a Series A company developing autonomous ground-handling systems for airlines and ground service providers.

What you will do

• Build and maintain data pipelines for rosbags, sensor logs, and telemetry from an autonomous fleet.
• Convert field data into curated, versioned datasets and own dataset storage, indexing, querying, and delivery.
• Set up ML training workflows and optimize cloud infrastructure costs.
• Build tooling for fast data access, reproducible experiments, and automated evaluation.
• Generate metrics and diagnostics for dataset health, model performance, and pipeline reliability.

Requirements

• 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 DevOps tools.
• Familiarity with AWS cloud storage and compute services, including S3 and EC2.
• Understanding of ML workflows and dataset versioning.
• Ability to work onsite in Toronto.

Nice to have

• 2+ years of MLOps or data infrastructure experience 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.
• Master’s degree in Computer Science, Robotics, or a related discipline.

Culture & Benefits

• Series A environment backed by venture capital investors in aviation and autonomous driving.
• Opportunity to work on autonomous systems used by major airlines and ground-handling providers.
• Equity offered as part of compensation.