Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
With offices in Toronto and San Francisco, 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
You will...
- Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects.
- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
- Implement and improve machine learning training and inference pipelines.
- Make iterations on the models for improvements.
- Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models.
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in Python or C++.
- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.
- Experience in software architecture, system performance, latency and data flow.
- Experience in Machine Learning.
- Understanding of parallel machine learning training and model deployment (e.g., TensorRT conversion).
- Ability to productionize machine learning models.
- Experience building software solutions on cloud infrastructure.
- Ability to rapidly prototype and test new algorithms.
- Solid problem solving skills using linear algebra, geometry, statistics & probability.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Experience designing and implementing tools for automated model tuning and hyper-parameter optimization, as well as experiment analysis.
- Experience in Deep learning frameworks such as PyTorch and TensorFlow.
- Experience with automated testing.
- Experience working in an Agile/Scrum environment.
The US yearly salary range for this role is: $158,000 - $269,000 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 that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all 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.
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