Machine Learning Engineer, May Mobility

• Experience and interest in one of the following specific domains:
• ML Runtime or Training Optimization
• Training Infrastructure
• Performance evaluation
• Data Centric Machine Learning
• Functional proficiency with Software concepts such as memory management, threading, databases and networking
• Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving
• Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations
• A minimum of 2 years training, optimizing and/or evaluating ML Models in a commercial environment
• Proficiency in C/C++/Python/PyTorch and experience in Linux environments
• Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification
• At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May

Desirable

• We are seeking Machine Learning Engineers with experience in robotics applications. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality
• Work closely with senior technologists to train, optimize and evaluate vehicle-oriented Machine Learning models
• Work cross functionally with Perception, Behavior, Integration, Test and Data teams to ensure the highest quality in model performance and deployment
• Physical Requirements:
• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use