Lead ML/Perception Engineer

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.

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%

Benefits and 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

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

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