高级/资深软件工程师，机器学习数据集与数据流水线
Senior / Staff Software Engineer, ML Datasets & Data Pipelines
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，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世界领先企业的支持并与其合作。
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
作为嵌入在我们的自主与算法团队中的高级/资深软件工程师，你将构建可扩展的机器学习数据流水线，用于训练和评估Waabi的自动驾驶平台。与世界知名的科学家和工程师紧密合作，你将解决复杂的数据挑战，加速我们全无人驾驶车辆的推出。
你将：
- 使用真实驾驶数据和Waabi World（我们的高保真模拟器）设计并实现数据流水线，用于训练和评估深度学习模型。
- 优化数据格式、缓存和数据加载，以提高大规模机器学习训练和评估的效率。
- 改进数据采样和组合，进行深度数据分析，跟踪模型性能并发现关键边缘案例场景。
- 通过编写高质量、结构良好且经过严格测试的代码，推动工程卓越。
- 协助制定项目路线图规划、优先级排序和交付。
资格要求：
- 计算机科学、机器学习或相关技术领域的学士或硕士学历，4年以上行业经验。
- 精通Python，具备扎实的软件工程基础，包括使用深度学习框架（如PyTorch、TensorFlow或JAX）的经验。
- 具有构建分布式ETL和数据处理流水线的实际经验。
- 直接管理机器学习流水线的经验，包括数据集管理、数据加载和优化。
- 对云作业编排、监控和度量最佳实践有深刻理解。
- 协作性强、思维开放，对解决自动驾驶技术中的难题充满热情，并有强烈的意愿指导他人。
加分项：
- 优化大规模分布式训练流水线和/或高度优化的机器学习推理流水线的经验。
- 使用MapReduce（Apache Hadoop/Spark）或编排框架（Apache Airflow、Apache Beam、Google Cloud Dataflow）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 Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.
You Will..
- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.
- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.
- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.
- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.
- Help drive project roadmap planning, prioritization, and delivery.
Qualifications:
- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.
- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Hands-on experience building distributed ETL and data processing pipelines.
- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.
- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.
- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.
Bonus Points:
- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.
- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).
- Experience solving data challenges specific to autonomous driving.
- Familiarity with linear algebra (projections, transforms) and 3D geometry.
- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).
The US yearly salary range for this role is: $148,000 - $260,000 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.