Software Engineer, ML Ops
Listed by employer · Checked
Posted within 60 days ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- USD 123,828–154,785 1 YEAR
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Minimum experience (years)
- 2
“2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 123,828–154,785 1 YEAR
7 fields not stated in this posting
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- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
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- Not specified
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Original job description
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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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