Waabi에서 자율주행 트럭을 위한 Learnable Planner 통합 연구 엔지니어를 채용합니다. 머신러닝 및 모션 플래닝 분야의 전문성을 바탕으로 최신 AI 모델을 프로덕션 스택에 통합하는 역할을 수행합니다. PyTorch, C++, Python 활용 능력이 필수이며, 자율주행 기술의 상용화에 기여할 열정적인 인재를 찾습니다.
Remote US & Canada / Dallas, TX / Phoenix, AZ / Pittsburgh, PA / San Francisco, CA / Toronto, ON
Software – Autonomy & Algorithms /
Full-time /
Hybrid
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's 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: www.waabi.ai
The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
Champion engineering excellence, ensuring high-quality, well structured and tested code.
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.
MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.
Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
Passion for taking research ideas and turning them into practical solutions for real-world applications.
Open-minded and collaborative team player with willingness to help others.
Solid understanding of computing fundamentals, including code efficiency.
Experience in deep learning frameworks such as PyTorch.
Proficiency in Python, Rust, C++ and/or CUDA.
Experience deploying ML/DL models to a production motion planning or related robotics stack.
Experience in iterating on a model including evaluation, introspection and fine-tuning.
Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.
The US yearly salary range for this role is: $159,000 - $296,000 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, 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
