May Mobility
51 - 200 employees
Founded 2017
🚗 Transport
🤖 Artificial Intelligence
Transport • Artificial Intelligence
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.
Machine Learning Engineer II
🕒 June 5
🚗 Michigan – Remote
💵 $160k - $210k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
May Mobility
51 - 200 employees
Founded 2017
🚗 Transport
🤖 Artificial Intelligence
Transport • Artificial Intelligence
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
• Architect and operate data and training pipelines across cloud and cluster environments. • Build and maintain distributed training and orchestration tooling. • Design and maintain the data and metadata stores that back our training and evaluation workflows
🎯 Requirements
• Bachelor’s or Master’s degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations. • A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production. • Proficiency in C++, Python and PyTorch with experience in Linux environments. • Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)
🏖️ 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
Apply NowSimilar Jobs
🕒 June 4
Data & AI/ML Engineer at System designing data pipelines and infrastructure for healthcare data products. Ensuring reliability and performance while partnering with Research and Data Science teams.
🇺🇸 United States – Remote
💰 $12.3M Series A on 2021-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 June 4
ML Engineer designing and deploying models for Kodex, transforming data workflows for secure handling. Collaborating with teams to enhance verification accuracy and improve security systems.
🇺🇸 United States – Remote
💵 $150k - $180k / year
💰 Venture Round on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🕒 June 4
Machine Learning Engineer building predictive models for MailerLite’s email marketing platform. Collaborate with teams to establish ML systems and drive product innovation.
🇺🇸 United States – Remote
💵 €55k - €80k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🕒 June 3
MLOps / Machine Learning Engineer building large-scale ML infrastructure for Deep Reinforcement Learning at GTO Wizard. Contributing to advanced machine learning systems for poker strategy insights.
🕒 June 3
Apricot
11 - 50
Machine Learning Engineer with strong experience in computer vision and production ML systems. Working directly with founders to expand AI capabilities in image analysis and structured data modeling.
