研究科学家，神经重建
Research Scientist, Neural Reconstruction
Waabi由人工智能愿景家Raquel Urtasun创立，是物理AI领域的领导者。凭借世界级的团队，我们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动力。Waabi得到了人工智能、汽车、物流和深度科技领域领导企业的支持并与其合作。
Waabi在多伦多、旧金山、达拉斯和匹兹堡设有办公室，正在快速成长，寻找具有多样性、创新性和协作精神的候选人，他们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
Waabi World依赖于从真实世界传感器数据中准确、可扩展且高效的3D/4D物理世界的重建。作为神经重建领域的研究科学家，您将开发下一代神经场景表示和重建算法，将稀疏、噪声大且部分观测到的驾驶数据转化为现实且可控的数字世界。
此职位专注于3D/4D神经重建和渲染，包括3DGS/NeRF、神经场景表示和可推广的重建模型。您的工作将直接提升Waabi World构建高保真场景资产的能力，从传感器数据中恢复几何和动态，并支持大规模的逼真模拟和渲染。
您将…
开展神经重建的基础和应用研究，包括：
3DGS / NeRF
动态场景重建
前馈重建
多传感器场景表示学习
构建用于动态城市场景的可扩展重建和模拟系统，包括车辆、背景、光照和远距离结构。
与模拟工程师合作，将模型集成到大规模分布式训练和渲染流程中。
在顶级会议（CVPR、ECCV、ICCV、NeurIPS、ICLR、ICRA、SIGGRAPH）上发表高影响力的研究成果。
指导初级科学家和实习生；培养科学严谨性和快速实验的文化。
关注神经渲染、3D表示学习、可微分渲染和可扩展重建系统的最新进展。
资格要求：
技术创新能力：您拥有计算机视觉、机器学习、机器人学或相关领域的博士学位，或具备推动技术领域边界的同等研究经验。
强大的原型设计和实现能力：您具备专家级的Python和PyTorch（或JAX）技能；扎实的软件工程基础和经验
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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
Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.
This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.
You will…
Conduct fundamental and applied research in neural reconstruction, including:
3DGS / NeRF
Dynamic scene reconstruction
Feed-forward reconstruction
Multi-sensor scene representation learning
Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.
Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.
Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.
Qualifications:
Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..
Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
Bonus:
Proven ability to translate research into production-quality code and measurable product impact.
Demonstrated first-author publications in top-tier venues on topics such as:
3DGS / NeRF / neural rendering
3D / 4D reconstruction
Generalizable reconstruction
Geometry-aware or multi-sensor representation learning
Experience working with camera, LiDAR, maps, and large-scale driving datasets.
Strong background in graphics, geometry, rendering systems, or simulation.
The US yearly salary range for this role is: $155,000 - $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!
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.