- Страна
- Канада
- Зарплата
- 155 000 $ – 269 000 $
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Research Scientist, Neural Reconstruction
Высокий балл обусловлен работой под руководством Ракель Уртасун, конкурентной зарплатой, наличием опционов и возможностью публиковаться на топовых конференциях. Это позиция на переднем крае технологий ИИ в одной из самых перспективных компаний сектора.
Сложность вакансии
Роль требует исключительной квалификации: степени Ph.D., глубоких знаний в узких областях (NeRF, 3DGS) и публикаций на конференциях уровня A*. Сочетание фундаментальной науки и навыков промышленной разработки делает поиск кандидатов крайне сложным.
Анализ зарплаты
Предлагаемый диапазон $155k–$269k USD полностью соответствует рыночным стандартам для Research Scientist уровня Senior/Staff в крупных технологических хабах США и Канады. Наличие бонусов и акций значительно повышает общую компенсацию выше медианы.
Сопроводительное письмо
I am writing to express my strong interest in the Research Scientist, Neural Reconstruction position at Waabi. With a deep background in Computer Vision and Machine Learning, specifically focusing on 3D scene representation and neural rendering, I have followed Raquel Urtasun’s work with great admiration. My experience in developing scalable reconstruction algorithms and my proficiency in PyTorch align perfectly with Waabi’s mission to build high-fidelity digital worlds for autonomous trucking.
In my previous research, I have worked extensively with NeRF and 3D Gaussian Splatting to recover geometry from sparse sensor data. I am particularly excited about the opportunity to apply these techniques to large-scale, dynamic urban environments and to collaborate with your world-class team of engineers. I am confident that my ability to bridge the gap between fundamental research and production-quality code will contribute significantly to the advancement of Waabi World.
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Присоединяйтесь к команде визионеров Waabi и создавайте будущее автономного транспорта с помощью передовых нейронных сетей!
Описание вакансии
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.
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Навыки
- Python
- PyTorch
- Machine Learning
- JAX
- Computer Vision
- Robotics
- 3D Reconstruction
- Distributed Training
- Neural Rendering
- NeRF
- 3D Gaussian Splatting
- Differentiable Rendering
Возможные вопросы на собеседовании
Проверка глубины знаний в основной технологии, указанной в вакансии.
Каковы основные преимущества и недостатки использования 3D Gaussian Splatting по сравнению с традиционными NeRF в контексте реконструкции динамических городских сцен в реальном времени?
Оценка способности кандидата работать с реальными, зашумленными данными от сенсоров беспилотников.
Как вы подходите к проблеме временной согласованности (temporal consistency) при реконструкции сцены по разреженным и зашумленным данным LiDAR и камер?
Проверка навыков масштабирования алгоритмов для больших систем.
Опишите ваш опыт оптимизации нейронных представлений сцен для распределенного обучения и рендеринга на больших кластерах GPU.
Оценка понимания физики и геометрии в нейронных сетях.
Как интегрировать априорные знания о геометрии (например, карты или структурные ограничения дорог) в процесс обучения нейронной реконструкции для улучшения обобщающей способности модели?
Проверка навыков наставничества и научной коммуникации.
Расскажите о случае, когда вы менторили младшего исследователя или интерна: как вы помогали им преодолеть технические трудности и довести исследование до публикации?
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- Страна
- Канада
- Зарплата
- 155 000 $ – 269 000 $