远程工作雷达

研究科学家

Research Scientist

AI限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Waabi
薪资$158,000 - $269,000/年
工作地点Canada、United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间2026-06-23
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 Canada、United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

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。

在多伦多、旧金山、达拉斯和匹兹堡设有办公室,Waabi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,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

加入我们,共同打造将生成式AI应用于现实世界的下一个前沿!作为研究科学家,你将发明新的AI技术,使我们推出完全无人驾驶的自动驾驶卡车。你将为Waabi的愿景做出贡献,即一个单一的AI系统能够端到端地学习,并以可证明安全的方式进行学习,以及我们革命性的高保真闭环模拟器Waabi World。欢迎高级和初级科学家申请。

你将……
领导并参与AI研究项目,通过为我们的自动驾驶系统和最先进的模拟器开发新算法,推动该领域的前沿发展。
处理与自动驾驶相关的多样化问题,例如感知、运动预测、控制、传感器模拟、场景生成、行为建模、地图构建、定位、智能数据挖掘与分析以及安全部署。
利用最新的AI进展(包括Transformer、基础模型、LLMs/VLMs、生成建模、模仿/强化学习、逆向渲染等)来解决各种问题,提出创新性解决方案。
支持将解决方案部署到我们的生产系统中,与平台团队紧密合作,确保研究成果无缝集成到生产系统中。
保持对人工智能、机器学习、计算机视觉和自动驾驶技术的最新进展的了解,并不断超越当前技术水平。
倡导工程卓越,确保代码高质量、结构清晰且经过充分测试。
在顶级机器学习、计算机视觉和机器人学会议(如NeurIPS、ICLR、ICML、CVPR等)上提交和发表研究成果,并发布到公司博客上。

资格要求:
计算机科学、人工智能、机器学习、计算机视觉、机器人学或相关技术领域的硕士/博士学位。优秀本科学生也将被考虑。
展示出在研究方面的经验,通过论文、项目或其他方式证明你的能力。

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

Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable 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. Both senior and junior scientists are welcome to apply.
 
You will...
Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.
Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.
Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.
Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
Champion engineering excellence, ensuring high-quality, well structured and tested code.
Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
Proficient in reading and coding in Python.
Open-minded and collaborative team player with willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus Points:
Previous experience in self-driving technology.
Experience in shipping machine learning features/models into production.
Proven track record of mentoring junior researchers or engineers.
Proficiency in Pytorch, Rust, C++ and/or CUDA.

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! 
 
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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