Senior / Staff Research Engineer, Simulation Agents

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: www.waabi.ai Role The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Research Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will Architect robust and scalable training and evaluation frameworks for IL/RL-based traffic agents. Design and implement scalable data pipelines for generating large-scale training datasets. Productionize cutting-edge research into robust, scalable systems in Waabi World, our simulation platform. Contribute to technical direction and strategy for realistic traffic agents and scenario generation. Qualifications Experience with imitation learning, reinforcement learning, planning, and/or robotics. Expertise with ML frameworks such as PyTorch, TensorFlow, or Jax. Proven ability to take research from prototype to production systems. Excellent software engineering skills with experience building scalable ML systems. Open-minded and collaborative team player with willingness to help others. Bonus/nice to have Masters/PhD in machine learning, computer science, engineering, or a related field. Publications in top-tier conferences or journals related to machine learning or robotics. Experience in self-driving, traffic simulation, or a related field. Expertise coding in Rust/C++. Compensation 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 Equal Opportunity 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. #J-18808-Ljbffr