Research Engineer

Overview

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, 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:(Use the "Apply for this Job" box below)..ai

• Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
• Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
• Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
• Champion engineering excellence, ensuring high-quality, 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 self-driving system and contributing to the development of a unified self-driving platform.
• Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
• Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
• Contribute to the publication of research findings in conferences as well as Waabi's blog.

• Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
• Experience working on applied research projects.
• Passion for taking research ideas and turning them into practical solutions for real-world applications.
• Solid understanding of computing fundamentals, including code efficiency.
• Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
• Comfortable working with large datasets for machine learning applications.

• Master/PhD in machine learning, computer science, engineering, or a related field.
• Experience in shipping machine learning features/models into production.
• Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
• Previous experience in self-driving technology or related fields.
• Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
• Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
• Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
• Proficiency in Pytorch, Rust, C++ and/or CUDA.

The US yearly salary range for this role is: $122,000 - $215,000 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.

• 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,…