Software Engineer, Evaluation Infrastructure

Waabi

Job Location:

Toronto - Canada

Monthly Salary: $ 127000 - 223000

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:

The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy systems performance across all development this role you will work closely with the systems & safety teams responsible for defining the requirements & evaluation criteria and simulation teams to leverage Waabi World our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles!

You will

- Develop the tooling infrastructure and pipelines to support complex statistical analyses of driving performance scale.

- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.

- Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data

- Work with large datasets from various sources including real world driving as well as Waabi World our high-fidelity simulator.

- Champion engineering excellence ensuring high-quality well structured and tested code.

- Assist in project roadmap planning prioritisation and delivery.

Qualifications:

- MS/Bachelors degree with 2 years of industry experience in Computer Science Machine Learning and/or similar technical field(s) of study.

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

- 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 in data processing pipelines ETL pipelines distributed computing.

- Experience in building highly reliable and scalable web services

- Understanding of cloud job orchestration monitoring and instrumentation best-practices.

- Experience in evaluating complex ML models or self-driving software stacks.

The US yearly salary range for this role is: $127000 - $223000 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: