Software Engineer, ML Ops

Aerovect
Toronto, Canada
On-site

Who this role is best for

Geared toward data engineers or robotics professionals comfortable with building data pipelines for autonomous systems. Mid-level experience in MLOps and cloud infrastructure is expected, with a focus on ROS2 and sensor data management in Toronto.

Best fit for

  • Mid-level engineers with robotics or autonomous systems MLOps experience and dataset versioning expertise
    — “2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems”
  • Candidates with Master's degrees in CS/Robotics and background in perception team tooling
    — “Experience supporting perception or ML research teams”
  • Professionals skilled in converting raw sensor data into structured datasets for ML teams
    — “Convert raw field data into curated, versioned datasets for the perception team”

Things to consider

  • Onsite requirement in Toronto may necessitate local relocation or commuting
    — “Please note this role will be based onsite in Toronto”
  • Cloud cost optimization experience is a key operational focus area
    — “Set up training workflows and optimize cloud costs”

How to stand out

  • Highlight specific rosbag processing and perception workflow automation projects
    — “Experience with rosbag data, and large-scale sensor datasets”
  • Demonstrate dataset versioning and ML pipeline monitoring implementation examples
    — “Generate metrics and diagnostics to track dataset health, model performance”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built and maintained data pipelines
  • Set up training workflows
  • Generated metrics and diagnostics
Typical background
Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering

Skills & requirements

Required

PythonROS2DockerCloud Storage And ComputeML WorkflowsDataset VersioningData Pipeline DevelopmentAutomationMetrics And DiagnosticsCloud Costs Optimization

Preferred

C/c++Weights & BiasesRosbag DataLarge-scale Sensor Datasets

Stack & domain

PythonROS2DockerAWS S3AWS EC2Weights & BiasesRosbag DataLarge-scale Sensor DatasetsC/c++MlopsData InfrastructureRoboticsAutonomous SystemsCloud Storage And Compute

About the role

Original posting from Aerovect via Ashby

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 teams

Please note this role will be based onsite in Toronto

Source: Aerovect careers (Ashby)

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