Lead Machine Learning Engineer

May Mobility; Ann Arbor (MI); On-site; USD 220,000 - 270,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Health Savings and Flexible Spending Accounts

Retirement benefits with employer matching

Paid parental leave

Flexible vacation policy

Wellness program

Job summary

May Mobility is seeking an experienced Engineer in Ann Arbor, Michigan, to develop advanced models for their autonomous driving technology. The successful candidate will have a Master's degree in a relevant field and at least four years of industry experience. Responsibilities include training models, leading teams, and leveraging innovative techniques to solve complex problems. Benefits include comprehensive healthcare, retirement plans, and a flexible vacation policy.

Qualifications

• Minimum 4 years of industry experience working on commercial robotics systems.
• Minimum 1 year mentoring ML Engineers in a commercial or lab environment.
• Experience handling the 'Long Tail' problem in Machine Learning.
• Functional understanding of LiDAR, Camera, and Radar processing techniques.

Responsibilities

• Design, train, and evaluate state of the art models for autonomous driving.
• Leverage emerging techniques in End-to-End driving and Vision Language Action.
• Lead small teams of cross functional engineers beyond the state of the art.
• Define data balance and training experiments for large-scale training.

Skills

Vision Language Action Models

Generative World Models

Foundation Models in Robotics

Data Centric AI

Python/PyTorch

Education

Master's degree in Robotics, Computer Science, or Computer Engineering

Job description

Overview

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 Multi-Policy Decision Making (MPDM) technology that reimagines the way AVs think.

Our vehicles provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with more convenience. We are building the world\'s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster greener, more vibrant and livable spaces. Since our founding in 2017, we have given more than 500,000 autonomous rides to real people around the globe. We are hiring people who share our passion for building the future, solving real-world problems, and seeing the impact of their work. Join us.

Salary Range: $220,000—$270,000 USD

Responsibilities

• Design, train and evaluate state of the art models for May\'s autonomous driving, simulation and ML Platform stack.
• Leverage emerging techniques in End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.
• Lead small teams of cross functional engineers beyond the state of the art.
• Define data balance, training experiments and evaluation practices to train efficiently at petabyte scale.

Qualifications and Experience

Required

• Extensive practical experience in one of the following domains:
• Vision Language Action Models
• Generative World Models
• Foundation Models in Robotics
• Data Centric AI
• A minimum of 4 years of industry 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.
• Familiar with common post-training techniques.
• Experience deploying models to resource constrained and edge hardware
• Functional understanding of C/C++/CUDA memory and threading models.

Physical Requirements

• Standard office working conditions including prolonged sitting, standing, and computer use.
• Travel: Low (5%–10%).

Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have resided together at least one year are also eligible to participate.
• Health Savings and Flexible Spending Accounts available.
• Retirement benefits with employer matching.
• Paid parental leave and phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Wellness program with resources for overall wellbeing.