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Software Engineer, ML Ops

Aerovect · Toronto · Hybrid · Active · Ashby

Job facts

Field	Value
Company	Aerovect
Title	Software Engineer, ML Ops
Normalized title	-
Department / team	Engineering / Engineering
Location	Toronto, ON, Canada
Work model	Hybrid / Hybrid
Employment type	Full Time
Salary	-
Status	active
ATS provider	Ashby
Posted / first seen	— / 2026-05-29
Changed / last seen	2026-05-29 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Aerovect.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Ashby.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Toronto.	Open
Department jobs	Active postings in Engineering.	Open
Work model jobs	Active Hybrid postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Aerovect
Source	719c6b95-c1ea-49c0-aa38-7099ed80c68e
ATS provider	Ashby

Description

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

Full job record

Job ID	3f7709ad050189f0c1a355ef13f459bd6d685da5
Org ID	f5a5a4ae-e398-4924-8348-09151e098fec
Source ID	719c6b95-c1ea-49c0-aa38-7099ed80c68e
Board ID	719c6b95-c1ea-49c0-aa38-7099ed80c68e
Provider	ashby
Provider Job Key	20b9d482-1913-4718-ac0a-1b0a7e5b0f92
Title	Software Engineer, ML Ops
Normalized Title	—
Status	active
Active	yes
Location Text	Toronto
Department	Engineering
Team	Engineering
Employment Type	full_time
Workplace Type	hybrid
Remote Policy	hybrid
Country	Canada
Region	ON
City	Toronto
Salary Raw	—
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
Source URL	https://jobs.ashbyhq.com/AeroVect/20b9d482-1913-4718-ac0a-1b0a7e5b0f92
Apply URL	https://jobs.ashbyhq.com/AeroVect/20b9d482-1913-4718-ac0a-1b0a7e5b0f92/application
First Seen At	2026-05-29 05:58:58Z
Last Seen At	2026-06-06 09:10:26Z
Last Checked At	2026-06-06 09:10:26Z
Last Changed At	2026-05-29 05:58:58Z
Inactive At	—
Source Posted At	—
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=AeroVect/date=2026-06-06/2026-06-06T09-09-56-456Z-4b4f717c824e0be345385f56b1fdf30f5b29be7c8f33843d0e08319bebae4615.json

Event Fields

{
  "content_hash": "571520e02d92c6194f40e4662137b5db5046df645dcbee0721020c46bb36e30b",
  "source_hash": "5c7277fa78ba478a3c0918179acd7768b05c711df1f0395708e2a007dfccaaf6",
  "last_changed_at": "2026-05-29T05:58:58.608Z",
  "active_status": "active"
}

Parsed Structured

{
  "language": "en",
  "location": {
    "raw": "Toronto",
    "city": "Toronto",
    "region": "ON",
    "country": "Canada",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:10:26.870Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Toronto",
      "city": "Toronto",
      "region": "ON",
      "country": "Canada",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "Canada",
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

Extensions

{}

Native Structured

{
  "id": "20b9d482-1913-4718-ac0a-1b0a7e5b0f92",
  "team": "Engineering",
  "title": "Software Engineer, ML Ops",
  "jobUrl": "https://jobs.ashbyhq.com/AeroVect/20b9d482-1913-4718-ac0a-1b0a7e5b0f92",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/AeroVect/20b9d482-1913-4718-ac0a-1b0a7e5b0f92/application",
  "isListed": true,
  "isRemote": false,
  "location": "Toronto",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Atlanta - Onsite"
    },
    {
      "location": "Atlanta - Hybrid"
    }
  ]
}

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