软件工程师，标签、数据与自动化
Software Engineer, Labelling, Data & Automation
Waabi由人工智能先知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，开启自主交通的新时代。Waabi得到了人工智能、汽车、物流和深度科技领域领导企业的支持与合作。
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
作为我们数据标注与自动化团队的软件工程师，你将构建管道、工具和工作流程，以加速我们以AI为核心自动驾驶技术的开发。数据标注与自动化团队在Waabi的训练流程中起着关键作用。我们是训练机器学习模型过程中的第一步，负责构建实用、可扩展的工具和自动化系统，用于提取有趣且相关数据，创建高质量的地面真实标签，并将这些数据提供给我们的机器学习科学家和工程师。
你将：
- 设计并实现工具、管道和指标，以加速我们以AI为核心的自动驾驶系统和生成式AI模拟器的开发。
- 负责高效地在Waabi收集的PB级真实世界数据中找到有趣且相关数据的过程、标准和工具。
- 构建高可靠性的系统，从各种供应商处提取和标注数据，并将其集成回我们的系统。
- 与内部和第三方利益相关者合作，定义标注项目的分类法、验证规则和成功标准。
- 设计并管理端到端的数据解决方案部署，为各种ML团队提供高质量标注数据，用于实验和模型改进。
- 将开放式/嵌入模型部署到生产环境——赋能新的搜索和整理方式。
- 推动工程卓越，确保高质量、结构良好且经过测试的代码。
- 参与项目路线图规划、优先级排序和交付。
资格要求：
- 4年以上行业经验。
- 计算机科学、工程、机器学习或相关技术领域的学士学位。
- 精通Python编程，具备扎实的软件工程基础，并有实际编写高质量代码的经验。
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 Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
You will..
- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected
- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system
- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects
- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement
- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities
- Champion engineering excellence, ensuring high-quality, well structured, and tested code.
- Contribute to project roadmap planning, prioritization, and delivery.
Qualifications:
- 4+ years of industry experience.
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
- A willingness and ability to learn new skills, technologies, and software libraries as required.
- Strong experience with data pipelines for large-scale processing and analysis.
- Strong communication and organizational skills
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus Points:
- Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
- Previous experience in self-driving technology or related fields.
- Familiar with linear algebra (projections, transforms) and 3D geometry.
- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).
- Experience with with front end development
- Experience working with open-set / embedding models and deploying them in a production setting
- Experience working with infra as code (Terraform, CloudFormation, etc)
The US yearly salary range for this role is: $127,000 - $225,000 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.