Lead ML/Perception Engineer
May Mobility5 months ago
Base Salary
$235k - $275k/yr
Responsibilities
- Develop software and system requirements with cross-functional teams.
- Lead architectural updates, modularization, and migration strategies for a scalable, maintainable, low-latency perception stack.
- Own scene detection and activation capabilities that classify operating scenarios and trigger appropriate perception behaviors and ODD logic at runtime.
- Improve perception robustness through sensor-fault detection, health monitoring, graceful degradation, and fallback strategies for adverse weather and sensor occlusion.
- Design, implement, test, and deliver production-grade perception features.
- Integrate large-scale multimodal models, including VLMs and LLMs, into the perception stack for semantic scene understanding and reasoning.
- Track and trend perception performance in the field.
- Lead feature design, code reviews, issue diagnosis, and resolution.
- Lead testing to validate features and meet release schedules.
- Lead data, development, and ML pipeline work focused on multimodal data alignment for foundation-model training.
- Set the technical bar, mentor engineers, and make major architectural decisions for real-world autonomous systems.
Requirements
- Minimum 5+ years of industry experience working on real-world robot systems and maintaining high-quality industrial-grade code.
- Master’s degree in Robotics, Computer Science, Computer Engineering, or a field requiring a strong mathematical or engineering foundation.
- Demonstrated experience leading or making major architectural decisions for perception, robotics, or autonomy software stacks.
- Strong programming skills in C, C++, and Python, with software development experience in Linux environments.
- Strong ML/DL development experience with PyTorch or TensorFlow.
- Direct experience developing or fine-tuning large-scale multimodal models, including multi-sensor fusion models, foundation models, and VLM backbones, for real-world perception applications.
- Experience with several real-time areas including computer vision, object detection, classification, segmentation, semantic scene understanding, scene or scenario detection, open-vocabulary detection, degraded-condition perception, multi-target tracking, and sensor fusion.
- Extensive experience deploying features and ML/DL models in real-time systems with high accuracy and low latency.
- Preferred experience with all-weather perception, sensor degradation modeling, fault detection, graceful degradation, ODD monitoring, runtime capability activation, legacy-system re-architecture, synthetic data, reinforcement learning, explainable AI, and ML/DL optimization for resource-constrained real-time products.
- Strong understanding of perception-system architecture, reliability engineering, data pipelines, data balancing, data mining, multimodal learning, contrastive learning, prompt engineering, testing workflows, and production ML deployment.
- Excellent written and verbal communication, attention to detail, rigorous testing practices, and team-leading abilities.
Benefits
- Comprehensive medical, dental, vision, life, and disability coverage, with domestic partner eligibility after one year of cohabitation.
- Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care.
- Immediately vested employer safe harbor retirement match.
- Paid parental leave with phased return-to-work support.
- Flexible vacation policy and paid company holidays.
- Total Wellness Program resources.
- Standard office working conditions with prolonged sitting, standing, and computer use.
- Moderate travel required, defined as 11%-25%.
Categories
ML EngineeringRobotics
About May Mobility
May Mobility builds and operates autonomous vehicle technology for shared transit and ride-hail services. The company runs autonomous shuttles and driverless pilots with partners like Uber, Lyft, and Grab across deployments in the U.S. and Japan. Founded in 2017 and headquartered in Ann Arbor, Michigan, it sells autonomy-powered transportation services to cities and communities, having completed over 500,000 rides.