Software Engineer, Labelling, Data & Automation

Toronto, ON

Pay: USD 127,000–225,000/yearLocation-specific pay — pay source
Experience working with infra as code (Terraform, CloudFormation, etc) The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:
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Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

Apply at Waabi

What you’ll work on

Full posting

Build high-reliability systems to extract and label data with vendors and feed it back
Own the process and tooling for finding interesting data across petabytes of driving data
Define taxonomy, validation rules and success criteria for labelling projects
Deploy open-set and embedding models to production for search and curation
Manage end-to-end deployment of labelled data solutions for ML teams

From the employer’s posting

Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system

Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected

Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects

Deploy open-set / embedding models to our production environment - empowering new search and curation modalities

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

What you’ll bring

All qualifications

Core experience

4+ years of industry experience.
Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).
Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
Experience with with front end development

Qualification wording

4+ years of industry experience.

Experience with ML pipelines, including dataset curation, labelling, training and evaluation.

Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).

Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.

Experience with with front end development

Education & alternatives

- 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.

Tools in this posting

Python
AWS
Hadoop
Spark
Terraform
Airflow

Source

- 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.

- 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) The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Posting record

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Open 6 monthsWe first saw this posting 189 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 23, 2026 · 189 days ago
Recorded sightings: 138
Last seen by us: Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.

You will..

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.

Qualifications:

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)

The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:

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!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

Employment type

Full-time

Source details

View original posting ↗

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Pay: Experience working with infra as code (Terraform, CloudFormation, etc) The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:
Location & working pattern: Toronto, ON
- 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!
Work authorization: Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. Employment type

Open source at jobs.lever.co ↗Read the full description ↓

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