or apply directly on May Mobility's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days May Mobility's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of May Mobility's roles list one
- Ghost-job risk at May Mobility
- high 28 stale, 0 reposted of 47 open
- Hiring momentum
- 64 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from May Mobility's own greenhouse board since 2026-08-03. Full hiring picture for May Mobility.
About this role
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
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of May Mobility as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from May Mobility's posting. Read the full original.
Listed by May Mobility on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at May Mobility
- Senior Systems Engineer - Sensor SelectionAnn Arbor, MI - Hybrid
- Robotics Engineer IIAnn Arbor, MI - Onsite
- Autonomous Vehicle Operations SpecialistGrand Rapids, MN - Onsite
- Senior AccountantAnn Arbor, MI - Hybrid
- Autonomous Vehicle Operations Specialist IIArlington, TX - Onsite
- Autonomous Vehicle Operations SpecialistAtlanta, GA - Onsite
- Site Operations Manager IIArlington, TX - Onsite
- Senior Autonomous Vehicle Operations SpecialistArlington, TX - Onsite