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Posted Apr 30Lead Machine Learning Engineer
at May Mobility
Ann Arbor, United StatesRemote
Responsibilities
- Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.
- Lead small teams of cross functional Engineers beyond the state of the art.
- Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale. Skills and Abilities
Requirements
- 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.
- We are seeking Machine Learning Leaders in the Autonomous Vehicle domain.
- As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality. Essential Responsibilities
- Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership. Qualifications and Experience
- experience in one of the following domains:
- Foundation Models in Robotics Data Centric AI
- experience working on commercial robotics systems.
- A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.
- Master’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation. Practical
- experience handling the “Long Tail” problem in Machine Learning.
- Strong programming skills in Python/PyTorch in a Linux environment.
- Functional understanding of LiDAR, Camera and Radar processing techniques. Desirable
- PhD and/or published research in the described specialty domains.
- Functional understanding of C/C++/CUDA memory and threading models. Physical Requirements
- 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.
Benefits
- Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.
- Vision Language Action Models
- Travel required? - Low: 5%-10% Benefits and Perks
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
- 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.
- Salary Range $220,000 — $270,000 USD
Additional details
- May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world.
- 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.
- 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.
- Success in this role typically requires the following competencies: Direct
- experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications •
- Experience composing, processing and characterizing large (>100TB) multi-modal datasets •
- Experience analyzing and addressing long-tail failure cases in large models •
- Candidates most successful in this role typically hold the following