Software Engineer, Labelling, Data & Automation

Waabi

Job Location:

Toronto - Canada

Monthly Salary: $ 127000 - 225000

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Waabi founded by AI visionary Raquel Urtasun is the leader in Physical AI. With a world-class team were unlocking the next era of autonomous transportation with technology thats 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:

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 Waabis 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.

- Bachelors 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: $127000 - $225000 USD in addition to competitive perks & benefits. Waabi US Inc.s yearly salary ranges are determined based on several factors in accordance with the Companys 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience: