May Mobility - Lead ML/Perception Engineer
Requirements
• Success in this role typically requires the following competencies: • Proven ability to architect and evolve large-scale perception or autonomy systems, balancing performance, latency, safety, and long-term maintainability. • Strong grasp of perception robustness and reliability engineering, including degraded-sensor operation, adverse-weather handling, fault detection, and graceful degradation. • Experience with scene/scenario understanding and runtime activation logic (e.g., context classification, ODD monitoring, behavior triggering). • Familiar with ML development cycle, deployment, and optimization. • Deep understanding of data: data pipeline, data balancing, data mining, and data-driven performance improvement. • Knowledge of multimodal learning techniques, including contrastive learning and prompt engineering for zero-shot visual recognition. • Deep understanding of testing frameworks and workflows. • Excellent attention to detail and rigorous testing methodology. • Exceptional written and verbal communication skills and team-leading abilities. • Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: • A minimum of 5+ years of industry experience working on real-world robot systems maintaining high-quality industrial-grade code. • Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation. • Demonstrated experience leading or making major architectural decisions for a perception, robotics, or autonomy software stack. • Strong programming skills in C/C++/Python; software development in Linux environments. • Strong experience in ML/DL development with PyTorch/TensorFlow. • Direct experience developing or fine-tuning large-scale multi-modal models (e.g., multi-sensor fusion models, foundation models, including VLM backbones) for real-world perception applications. • Experience working on a combination of several of the following real-time areas: • Computer Vision: object detection, classification, segmentation. • Semantic scene understanding, scene/scenario detection, and open-vocabulary detection. • Perception robustness in degraded or adverse-weather conditions. • Multi-target tracking and sensor fusion. • Extensive experience deploying features/ML/DL models in real-time systems with high accuracy and low latency. • Desirable • Desirable • Experience developing all-weather / adverse-condition perception, sensor degradation modeling, fault detection, and graceful-degradation strategies for safety-critical systems. • Experience with scene/scenario classification, ODD monitoring, and runtime capability activation in autonomous systems. • Experience re-architecting or migrating large, legacy perception systems to modern, scalable frameworks. • Experience utilizing large-scale multi-modal models for edge-case (long-tail) detection and explainable AI in autonomous systems. • Familiar with synthetic data in ML system development. • Familiar with Reinforcement Learning (RL) for ML systems. • Familiar with ML/DL optimization on real-time products with limited compute resources (e.g., quantization of large transformer models). • Strong background demonstrated through high-quality capability deliveries to robots working in the field. • Standard office working conditions which includes but is not limited to: • Prolonged sitting • Prolonged standing • Prolonged computer use • Travel required? - Moderate: 11%-25%
Responsibilities
• Work independently with cross-functional teams to develop software and system requirements. • Lead major architectural updates to the perception stack, including system-level design, modularization, and migration strategies that improve scalability, latency, and maintainability across the fleet. • Design, develop, and own scene detection and activation capabilities, classifying the operating scene/scenario and triggering the appropriate perception behaviors and operational design domain (ODD) logic at runtime. • Improve perception robustness under degradation and adverse weather, including sensor fault detection, health monitoring, graceful degradation, and fallback strategies for rain, snow, fog, glare, low-light, and sensor soiling/occlusion conditions. • Design, implement, and test state-of-the-art perception features on time with high quality, industrial-grade production code. • Integrate large-scale multi-modal models (including but not limited to VLMs and LLMs) into the perception stack to improve semantic scene understanding and reasoning. • Track and trend technical performance of perception in the field. • Lead major feature development including feature design, code reviews, issue diagnosis, and resolution. • Lead extensive testing to validate features and satisfy release schedules. • Lead development related to data, development, and ML pipelines, specifically focused on multimodal data alignment for training foundation models.
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!
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT