高级软件工程师，自动标签
Senior Software Engineer, Auto Labelling
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与人工智能、汽车、物流和深度科技领域的全球领军企业有着合作与投资关系。
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，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
你将：
- 加入一个由跨学科研究科学家和工程师组成的团队，致力于构建基于计算机视觉和机器学习的前沿离线感知和自动标注系统。
- 管理大规模自动标注训练、评估和自动化生态系统的端到端编排。
- 使用分布式计算框架设计并扩展流程，以处理大规模数据和用户请求。
- 与ML研究人员和工程师合作，将新架构无缝部署到生产环境中。
资格要求：
- 计算机科学、机器人学或类似技术领域的学士学位。
- 在ML系统或ML软件栈中开发解决方案有3年以上经验。
- 对ML系统架构、性能分析和分析工具有深入理解，能够优化复杂工作负载。
- 具有深度学习模型端到端产品化的经验，特别是大规模在线推理。
- 精通Python，有编写高质量、结构良好且经过充分测试的“生产级”代码的记录。
- 思维开放、善于协作，愿意帮助他人。
加分项/有优势：
- 熟悉3D数据（LIDAR/点云）和多模态传感器融合感知模型。
- 有使用大型视觉语言模型（VLMs）的经验
该职位的美国年薪范围为：17万美元至22万美元美元，另加具有竞争力的福利和待遇。Waabi（美国）公司的年薪范围根据公司薪酬政策，结合多种因素确定。该薪资范围反映了该职位在美国所有地点新员工薪资的最低和最高目标。注意：公司会为该职位的员工提供额外的薪酬，包括股权激励奖励和年度绩效奖金。
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
You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 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.