Software Engineer, ML Ops

Toronto

Salary: $123,828 - $154,785
Level: Mid
Work type: Remote · Canada only

Not stated in the posting: visa.

Open. First seen 6 November 2026.

Apply on the company's site →

About the role

AeroVect's standard text

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

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

What this role asks for

Particular to this role

AWS · MLOps

Rare in AeroVect's other 22 open postings.

Standard for data science / ML roles

Machine Learning

Common in data science / ML postings at any company.

In most of AeroVect's ads

Python

Named in most of its open postings, whatever the role.

76% of this description is written for the role. The rest is AeroVect's standard text, folded away below.

Compared with AeroVect's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 7 open in Engineering. 4 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (7 of 7), Docker (5 of 7), Linux (5 of 7), ROS (4 of 7), C++ (3 of 7), CI/CD (3 of 7), Ansible (2 of 7)

OTHER ROLES ON THIS TEAM