Software Engineer, Labelling, Data & Automation
TECHNICAL STACK · 2 TAGS
OVERVIEW
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.
REQUIREMENTS
Description
- 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.
NICE TO HAVE
Description
- 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.
QUESTIONS AND ANSWERS
- How much does the Software Engineer, Labelling, Data & Automation at Waabi pay?
- The posting lists a range of $127K–$225K per year. Ranges reflect what Waabi publicly declared on the source posting.
- Where is this Software Engineer, Labelling, Data & Automation role based?
- The role is based in Toronto, ON.
- What experience does Waabi expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- Where is Waabi headquartered?
- Waabi is headquartered in Toronto, Canada.
- How was this posting sourced?
- This role was pulled directly from Waabi's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.