Software Engineer, Labelling, Data & Automation

Waabi; Toronto; On-site; CAD 173,686 - 307,712; Full time

Benefits offered by this job

Competitive compensation and equity awards

Health and wellness benefits

Unlimited vacation

Flexible hours and work-from-home support

Daily drinks, snacks and catered meals

Regularly scheduled team building activities

Job summary

Waabi in Toronto is seeking a skilled software engineer to design and implement data solutions for AI autonomy systems. The ideal candidate will have over 4 years of experience in Python programming and data pipelines. Responsibilities include building high-reliability systems for data labeling and collaborating with stakeholders to define project criteria. The role offers a lucrative salary range of $127,000 - $225,000 USD, along with equity incentives. Join us and help innovate self-driving technologies.

Qualifications

• 4+ years of industry experience.
• Strong experience with data pipelines for large-scale processing and analysis.
• Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.

Responsibilities

• Design and implement tools and pipelines for AI autonomy systems.
• Build high-reliability systems for data extraction and labeling.
• Work with stakeholders to define taxonomy and success criteria.

Skills

Python programming

Data pipelines

Communication skills

Organizational skills

Education

Bachelor’s in computer science, engineering, machine learning, or related

Tools

Apache Hadoop

Apache Spark

Apache Airflow

Terraform

Job description

Responsibilities

• 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 labeling 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 labeling projects.
• Design and manage the end‑to‑end deployment of data solutions to deliver high‑quality labeled 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.
• 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, labeling, 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 front‑end development.
• Experience working with open‑set/embedding models and deploying them in a production setting.
• Experience working with infrastructure as code (Terraform, CloudFormation, etc).

Salary Range

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 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.