About the Job
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...
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 lo...
Key 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.
Required Skills & 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.
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
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)
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).
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
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!
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