应用科学家
Applied Scientist
Waabi由人工智能先知Raquel Urtasun创立,是物理AI领域的领导者。凭借世界级的团队,我们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,发展迅速,正在寻找具有多样性、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,请访问:www.waabi.ai
在Waabi,我们正在构建下一代自动驾驶技术,利用革命性的物理AI方法。我们成功的关键在于能够以严谨和可靠的方式监控和报告软件、平台和车队的性能。
我们正在寻找一位经验丰富的应用数据科学家,担任关键角色,塑造我们评估生态系统的基础方法。这是一个高级技术岗位,位于评估、系统与安全以及自主驾驶团队的交汇点。你将协助设计和构建验证Waabi驾驶员的严格框架,涵盖Waabi World(仿真)、测试场和公共道路测试。
你将……
设计可扩展的生产级自动驾驶评估框架。你将应用统计严谨的方法论来解决采样评估集等挑战,确保全面覆盖操作设计域(ODD)。
设计并实现方法,系统地测量和监控评估基础设施本身的性能、保真度和可靠性,确保我们的测试生态系统始终是高度可信的事实来源。
直接进行复杂的深入分析原型设计,编写生产级别的评估代码,并构建复杂的工具和仪表板,将我们的进展综合呈现给技术和高管领导层。
作为安全和自主驾驶团队的关键合作伙伴,确保我们的自动化报告准确捕捉系统的技术意图和需求。
开发先进的分析模型,帮助将闭环仿真性能与实际驾驶结果相关联,量化我们评估指标的保真度和预测能力。
作为主题专家和协作伙伴,通过代码审查、方法指导以及帮助制定最佳实践,提升团队的分析标准。
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
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.
We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.
You will...
Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.
Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.
Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.
Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.
Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.
Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.
Qualifications:
Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.
MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping
Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.
Experience working with internal cross-functional partners/stakeholders
Open-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
Experience in the Autonomous Vehicle or Robotics industry
Familiarity with Systems Verification and Validation
Experience with large scale databases and analytics
Experience with workflow automation/orchestration frameworks
The US yearly salary range for this role is: $146,000 - $280,000 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.