研究工程师，可学习规划器（集成）
Research Engineer, Learnable Planner (Integration)
Waabi由人工智能先驱Raquel Urtasun创立，是物理AI领域的领导者。我们拥有世界级的团队，正在通过技术开启自动驾驶运输的新时代，这些技术正在为商用自动驾驶卡车和机器人出租车提供支持。Waabi得到了人工智能、汽车、物流和深度科技领域领导企业的投资并与其合作。
Waabi在多伦多、旧金山、达拉斯和匹兹堡设有办公室，正在快速扩张，寻找具有多样性、创新性和协作精神的候选人，希望以积极的方式影响世界。如需了解更多信息，请访问：www.waabi.ai
运动规划团队负责自主驾驶系统的核心模块，该模块负责决策并为我们的自动驾驶卡车生成轨迹。作为可学习规划器的研究工程师，你将支持将新的AI技术集成到我们的自主/规划系统中，从而实现完全无人驾驶自动驾驶卡车的发布。你将为Waabi的愿景做出贡献，即一个能够端到端学习且可证明安全的单一AI系统，以及我们革命性的高保真闭环模拟器Waabi World。
你将...
将最前沿的机器学习模型从开发到验证、部署和监控集成到生产规划系统中
在仿真中开发必要的接口和流程，用于测试原型或生产规划模型
与运动规划子团队和研究科学家紧密合作，改进我们的规划器架构，并开发丰富且新颖的表示方法，以促进端到端解决方案
推动工程卓越，确保高质量、结构良好且经过测试的代码。
跟进人工智能、机器学习、计算机视觉和自动驾驶技术领域的最新进展，并应用文献中的见解。
使用来自各种来源的大数据以及我们的高保真模拟器Waabi World。
为会议和Waabi博客发表研究成果做出贡献。
资格要求：
机器学习、计算机科学、工程或相关领域的硕士/博士学历。优秀本科学生也将被考虑。
在基于机器学习或传统技术的规划/决策方面有经验（例如，模仿学习和强化学习、基于优化的方法、搜索方法、概率推理）。
对将研究想法转化为实际的现实世界应用充满热情。
思想开放、善于协作
查看英文原文
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.
You will...
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.
Qualifications:
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.
Bonus/nice to have:
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.
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 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.