Machine Learning Engineer II

🕒 June 5

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Logo of May Mobility

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

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