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AeroVect

Software Engineer, ML Ops

  • Seen live on AeroVect's site today
  • Mid level
  • Remote
Pay
$124k to $155k a year USD
Location
Toronto
Open for
17+ days
First seen
Oct 18, 2026
Apply on AeroVect's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. AeroVect's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking AeroVect, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What it asks of you

Bachelor's degree asked for
“Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field” (quoted from the posting)

What the posting discloses

Pay
$124k to $155k a year USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

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 .

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

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