Lead ML/Perception Engineer

May Mobility

Lead ML/Perception Engineer at May Mobility developing perception systems for autonomous vehicles. Focus on advancing scene detection and improving perception robustness under adverse conditions.

Posted 6/8/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $235,000 - $275,000 per yearWebsite

Tech Stack

Tools & technologies

LinuxPythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

CC++PythonMLDLPyTorchTensorFlowcomputer visionmulti-target trackingsensor fusion

Soft Skills

leadershipcommunicationproblem-solvingcollaborationindependence

Certifications

Master's degree in RoboticsMaster's degree in Computer ScienceMaster's degree in Computer Engineering