Software Engineer, Labelling, Data & Automation

Waabi

Software Engineer developing tools and pipelines for Waabi's AI-focused self-driving technology. Collaborating with teams to create reliable data solutions and supporting machine learning projects.

Posted 4/22/2026full-timeToronto • 🇨🇦 CanadaMid-LevelSenior💰 $127,000 - $225,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudHadoopMapReducePythonSparkTerraform

About the role

Key responsibilities & impact

Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected.
Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system.
Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects.
Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement.
Deploy open-set / embedding models to our production environment - empowering new search and curation modalities.
Champion engineering excellence, ensuring high-quality, well structured, and tested code.
Contribute to project roadmap planning, prioritization, and delivery.

Requirements

What you’ll need

4+ years of industry experience.
Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
A willingness and ability to learn new skills, technologies, and software libraries as required.
Strong experience with data pipelines for large-scale processing and analysis.
Strong communication and organizational skills.
Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
Open-minded and collaborative team player with the willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus Points:
Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
Previous experience in self-driving technology or related fields.
Familiar with linear algebra (projections, transforms) and 3D geometry.
Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).
Experience with with front end development.
Experience working with open-set / embedding models and deploying them in a production setting.
Experience working with infra as code (Terraform, CloudFormation, etc).

Benefits

Comp & perks

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!

ATS Keywords

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Hard Skills & Tools

Pythondata pipelinesML pipelinesMapReduce frameworksApache HadoopApache SparkApache AirflowApache BeamGoogle DataflowAWS Step Functions

Soft Skills

strong communication skillsorganizational skillscollaborative team playerwillingness to learnproblem-solvingengineering excellence

Certifications

Bachelor's in computer scienceBachelor's in engineeringBachelor's in machine learning