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    Staff Engineer in Test - Toronto, ON, Canada - Waabi

    Waabi
    Waabi Toronto, ON, Canada

    1 week ago

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    Description

    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:

    As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles.

    You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them.

    We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.

    You will...

    • Prototype, evaluate, and iterate on perception algorithms, using realworld data and simulations, to improve the accuracy, robustness, and safety of our selfdriving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.
    • Formulate problems and propose pragmatic and longterm solutions based on research insights, leveraging your expertise in deep learning, computer vision, and selfdriving.
    • Support productizing and deploying perception algorithms to our selfdriving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our selfdriving system.
    • Champion engineering excellence, ensuring highquality, well structured and tested code.
    • Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our selfdriving system and contributing to the development of a unified selfdriving platform.
    • Stay uptodate with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and selfdriving technologies, and apply insights from the literature.
    • Work with large datasets from various sources as well as Waabi World, our highfidelity simulator.
    • Contribute to the publication of research findings in conferences as well as Waabi's blog.

    Qualifications:

    • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
    • Experience working on applied research projects.
    • Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.
    • Passion for taking research ideas and turning them into practical solutions for realworld applications.
    • Solid understanding of computing fundamentals, including code efficiency.
    • Proficient in Python programming with a focus on writing highquality, wellstructured, and tested code.
    • Comfortable working with large datasets for machine learning applications.
    • Strong grasp of machine learning and computer vision literature, including current trends and stateoftheart techniques.
    • Openminded and collaborative team player with the willingness to help others.
    • Experience and excitement in supporting a fastpaced highgrowth environment.
    • Passionate about being part of an organization solving selfdriving technologies.

    Bonus/nice to have:

    • Experience in shipping machine learning features/models into production.
    • Previous experience in multimodal sensor fusion.
    • Previous experience in selfdriving technology or related fields.
    • Publications in toptier conferences or journals related to computer vision, machine learning, or robotics.
    • Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
    • Proficiency in Pytorch, Rust, C++ and/or CUDA.

    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 fulltime 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 onsite, offsite & 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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