Lead ML/Perception Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $235 000 - $275 000 / an

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

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May Mobility

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2017

🚘 Automobile

📦 Logistique

🚗 Transport

Automotive • Logistics • Transport

May Mobility est un pionnier dans le développement de la technologie des véhicules autonomes et des solutions de transport. Ils se concentrent sur la création d'options de transport public sûres, fiables et accessibles en déployant des navettes sans conducteur dans les environnements urbains. Leurs solutions visent à améliorer la mobilité urbaine, réduire la congestion routière et offrir des alternatives de transport écologiques. Avec un fort accent sur la sécurité des piétons et des passagers, la technologie de May Mobility s'intègre harmonieusement dans l'infrastructure urbaine existante pour proposer une nouvelle vision du transport public.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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