Software Engineer, ML Ops

Name: RiseMe
Availability: InStock

RemoteRemoteFull TimePosted 2 months ago

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Required skills

Python
ROS2
Docker
DevOps tools
AWS
S3
EC2
ML workflows
dataset versioning
data pipelines

Nice to have

MLOps
data infrastructure
robotics
autonomous systems
Weights & Biases
rosbag data

Role summary

AeroVect is seeking a Software Engineer, ML Ops to build and maintain data pipelines, manage datasets, set up training workflows, and develop tooling for perception engineers. The role requires strong Python proficiency, knowledge of ROS2, Docker, DevOps tools, AWS, ML workflows, and dataset versioning. Preferred qualifications include MLOps or data infrastructure experience, especially in robotics or autonomous systems, and familiarity with Weights & Biases and C/C++.

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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