Lead Machine Learning Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $220k - $270k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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May Mobility

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

May Mobility is a pioneer in developing autonomous vehicle technology and transportation solutions. They focus on creating safe, reliable, and accessible public transit options by deploying driverless shuttles in urban settings. Their solutions aim to improve urban mobility, reduce traffic congestion, and provide eco-friendly transportation alternatives. With a strong emphasis on pedestrian and passenger safety, May Mobility's technology integrates seamlessly with existing city infrastructure to offer a new vision of public transportation.

📋 Description

• 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, World Model, and 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 experiment, and evaluation practices to train efficiently at petabyte scale. • Enhance May Mobility’s Machine Learning capabilities both on and off the vehicle in a commercial large-scale environment.

🎯 Requirements

• Extensive practical experience in one of the following domains: Vision Language Action Models, Generative World Models, Foundation Models in Robotics, or 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, 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. • Direct experience architecting and 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. • Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership. • Standard office working conditions, including prolonged sitting, prolonged standing, and prolonged computer use. • Travel required at a low level: 5%-10%.

🏖️ Benefits

• 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