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← May Mobility

Lead Machine Learning Engineer

May Mobility
Location
USA - Remote
Posted
1 month ago
Department
Autonomy Engineering
What they actually want (must-haves)
  • Extensive practical experience in 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, 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
Nice to have
  • 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
What the job really is

As a Lead Machine Learning Engineer at May Mobility, you will enhance the company's machine learning capabilities for autonomous vehicles and related platforms. Your role involves designing, training, and evaluating advanced models, leading small teams, and defining data practices for large-scale training. You will work with cutting-edge techniques in the field, addressing complex challenges in commercial-scale applications.

Benefits
  • 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
  • Total Wellness Program providing numerous resources for overall wellbeing
Things to weigh
  • Salary range is quite high, indicating a senior-level position
  • Role requires leading teams and mentoring, which may not suit all candidates
  • Low travel requirement may appeal to candidates seeking work-life balance
Job score3.4/5
Benefits3/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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