研究工程师
Research Engineer
Waabi由人工智能愿景家Raquel Urtasun创立,是物理AI领域的领导者。我们拥有世界级的团队,通过技术推动商业自动驾驶卡车和机器人出租车的发展,开启自动驾驶的新时代。Waabi得到了人工智能、汽车、物流和深度科技领域领袖的支持与合作。
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
作为研究工程师,你将处于我们自动驾驶车辆人工智能算法研发和部署的最前沿。你将与在深度学习、计算机视觉和自动驾驶技术方面享有盛誉的科学家和工程师团队密切合作,开发尖端解决方案,使我们的车辆能够理解和导航周围环境。我们重视原创性、创新性以及对严谨实验验证和代码质量的承诺,努力将研究想法转化为生产应用,并推动自动驾驶技术的边界。高级工程师欢迎申请。
你将……
利用真实数据和模拟,对解决方案进行原型设计、评估和迭代,以提高自动驾驶算法的准确性、鲁棒性和安全性。
基于研究洞察,提出实际且长期的解决方案,发挥你在深度学习、计算机视觉和自动驾驶技术方面的专长。
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我们的自动驾驶系统中。
倡导工程卓越,确保代码高质量、结构清晰并经过充分测试。
在跨学科团队中协作,解决与感知、运动预测、路径规划、交通建模和传感器仿真相关的问题,将研究成果整合到我们的自动驾驶系统中,并为统一的自动驾驶平台开发做出贡献。
跟踪人工智能、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。
处理来自各种来源的大规模数据集以及Waabi World,我们的高保真模拟器。
将研究成果发表在会议上
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
As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.
You will...
Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
Champion engineering excellence, ensuring high-quality, well structured and tested code.
Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
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:
Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
Experience working on applied research projects.
Passion for taking research ideas and turning them into practical solutions for real-world applications.
Solid understanding of computing fundamentals, including code efficiency.
Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
Comfortable working with large datasets for machine learning applications.
Bonus/nice to have:
Master/PhD in machine learning, computer science, engineering, or a related field.
Experience in shipping machine learning features/models into production.
Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
Previous experience in self-driving technology or related fields.
Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $122,000 - $215,000 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.