机器学习工程师 II - 自动驾驶训练基础设施
Machine Learning Engineer II - Autonomous Driving Training Infrastructure
May Mobility 通过自主技术重塑城市，打造更安全、更环保、更具包容性的世界。公司总部位于密歇根州安娜堡，May 开发并部署由我们创新的多策略决策（MPDM）技术驱动的自动驾驶车辆（AV），真正重新定义了 AV 的思考方式。
我们的车辆不仅仅是自行驾驶——它们为社区提供价值，填补公共交通的空白，并安全、便捷且充满乐趣地将人们送往他们需要的地方。我们正在打造全球最佳的自动驾驶系统，通过减少拥堵、扩大可及性并鼓励更合理的土地利用，重新构想交通。自2017年成立以来，我们已为全球的真人提供了超过50万次自动驾驶行程。而我们才刚刚开始。我们正在招聘与我们一样热衷于今天构建未来、解决现实问题并看到自己工作影响的人。加入我们吧。
职位概述
May Mobility 正进入一个激动人心的增长阶段，随着我们开创性的自动驾驶接驳车和出行服务在全国范围内扩展。自2017年成立以来，我们拥有一个由经验丰富的机器人专家和软件工程师组成的强大团队，在野外部署机器人系统方面有数十年的经验。现在，May Mobility 正在寻找具有机器人或自动驾驶车辆背景的机器人工程师加入我们的团队。
我们正在寻找具有机器人应用经验的机器学习导向的软件工程师。作为我们自动驾驶机器学习团队的一员，你将运用你对软件和机器学习概念的知识，设计和运营使 May 自动驾驶系统快速且可靠地大规模提升的流程。
核心职责
- 负责将自动驾驶机器学习模型从概念过渡到商业规模的过程。
- 在云和集群环境中设计和运营数据、训练和评估流程。
- 设计和维护支持我们训练和评估流程的数据和元数据存储。
技能与能力
此职位的成功通常需要以下能力：
- 对大型数据（>100TB）或大型模型（>100GB）应用采用数据和模型并行训练技术
- 架构和运行容器化/流水线化的机器学习训练任务，包括 GPU 调度/自动扩展、数据加载器设计和实验跟踪。
- 构建和维护 CI/CD 流水线和基础设施。
查看英文原文
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.
We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and ML concepts to design and operate pipelines that allow May’s Autonomous Driving stack to improve quickly and reliably at scale.
Essential Responsibilities
- Own the process to transition Autonomous Driving ML models from concept to commercial scale.
- Architect and operate data, training and evaluation pipelines across cloud and cluster environments.
- Design and maintain the data and metadata stores that back our training and evaluation workflows.
Skills and Abilities
Success in this role typically requires the following competencies:
- Employ data and model parallelism training techniques for large data (>100TB) or large model (>100GB) applications
- Architecting and operating containerized/pipelined ML Training workloads, including GPU scheduling/autoscaling, dataloader design and experiment tracking.
- Building and maintaining CI/CD pipelines and infrastructure.
- Working with relational and object stores, and high-throughput data formats for ML workloads.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
- Bachelor’s or Master’s degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
- A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
- Proficiency in C++, Python and PyTorch with experience in Linux environments.
- Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)
Desirable
- Familiarity with basic Perception and Planning concepts in Autonomous Driving.
- Proficiency in Go or Rust.
- Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights & Biases.
- Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).
- Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).
Physical Requirements
- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
Travel required? - Low 5-10%
Benefits and Perks
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
- Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
- Rich retirement benefits, including an immediately vested employer safe harbor match.
- Generous paid parental leave as well as a phased return to work.
- Flexible vacation policy in addition to paid company holidays.
- Total Wellness Program providing numerous resources for overall wellbeing
Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$160,000—$210,000 USD
May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here