---
title: "Software Engineer, ML Ops"
company: "AeroVect"
company_url: "https://www.remjobs.works/companies/aerovect"
url: "https://www.remjobs.works/job/aerovect-software-engineer-ml-ops-c61f2713-5766-44aa-b77a-4b81ef3024ff"
apply_url: "https://jobs.ashbyhq.com/aerovect/701fa96b-d96a-4664-901a-cf4ce951726c"
workplace: remote
location: "Toronto"
remote_scope: "Toronto"
employment_type: full-time
seniority: mid
role: software-engineering
region: canada
skills: ["aws", "cpp", "docker", "python"]
salary: "$123,828–$154,785 per year"
date_posted: 2026-08-20T18:28:38.899Z
first_seen_by_remjobs: 2026-09-15T19:01:48.529Z
---

# Software Engineer, ML Ops

**AeroVect** · Toronto

Salary: $123,828–$154,785 per year

Apply: https://jobs.ashbyhq.com/aerovect/701fa96b-d96a-4664-901a-cf4ce951726c

## About the role

#### 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](http://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 teamsPlease note this role will be based onsite in Toronto

---

Source: AeroVect's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/aerovect-software-engineer-ml-ops-c61f2713-5766-44aa-b77a-4b81ef3024ff