Lead Machine Learning Engineer – Localization

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $235k - $285k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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May Mobility

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

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 drive the technical roadmap for a production-grade localization machine learning stack spanning map and sparse landmark-based localization using vision, LiDAR, and radar • Lead research, design, training, and validation of neural architectures for detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction • Drive major feature development from inception to deployment, including architecture design, code reviews, automated testing, mentorship, and technical resolution • Own the end-to-end data strategy, including data curation, auto-labeling, synthetic data, and active learning pipelines • Develop metrics and evaluation frameworks for localization performance and system reliability across diverse Operational Design Domains • Define and validate failure-mode and degradation criteria, safety-case coverage, and graceful fallback behavior • Evaluate and integrate multimodal localization and vision/fusion foundation-model techniques into production solutions • Drive cross-functional alignment and translate autonomy goals into software and system requirements

🎯 Requirements

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation • 7+ years of industry experience developing and deploying ML/DL models for computer vision or localization at scale • Deep expertise in computer vision foundations, including object detection, classification, segmentation, tracking, depth estimation, 3D reconstruction, and feature detection/description • Experience with vectorized landmark and feature detection networks, BEV-based scene representation, and temporal modeling • Knowledge of self-supervised/semi-supervised learning, open-vocabulary detection, and vision/fusion Foundation Models • Experience with feature extraction and/or fusion from imagery, LiDAR, and/or radar • Expertise in ML/DL development using PyTorch or TensorFlow • Experience with synthetic data generation, large-scale dataset handling, data curation, and active learning strategies • Strong programming skills in Python and/or C++ with modular software design and Linux-based development • Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models • Proven leadership in technical roadmaps, mentoring engineers, and measurable improvements in model performance and system reliability

🏖️ Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans • Domestic partners who have been residing together at least one year are eligible to participate in healthcare plans • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts • Rich retirement benefits, including an immediately vested employer safe harbor match • Generous paid parental leave and phased return to work • Flexible vacation policy • Paid company holidays • Total Wellness Program providing numerous resources for overall wellbeing