May Mobility - Machine Learning Engineer II
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Requirements
• Success in this role typically requires the following competencies: • 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. • Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: • 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. • Desirable • Experience optimizing ML models for resource-constrained hardware • Experience with CUDA and GPU processing techniques • Proficiency with hard example mining, active learning or dataset composition techniques • Experience calculating metrics for and evaluating autonomous vehicle models • Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications • Standard office working conditions which includes but is not limited to: • Prolonged sitting • Prolonged standing • Prolonged computer use
Responsibilities
• 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
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 • 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. • Want to learn more about our culture & benefits? Check out our website!
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