May Mobility
Lead Machine Learning Engineer - Localization
$235K–$285K
USA - Remote · Remote · Full-time · Posted Aug 4, 2026
- Experience
- 7+ years required; 10+ years preferred for ML/DL in autonomous driving or ADAS.
- Education
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
About the job
Leads development and deployment of machine-learning systems that extract localization features and estimate autonomous vehicles’ positions across varied operating environments.
What you'll do
- Architect the localization ML roadmap and production stack, optimizing real-time performance and robustness across sensors and operating environments.
- Lead design, training, validation, and deployment of neural models and localization feature-extraction pipelines.
- Own localization data strategy, evaluation metrics, failure criteria, and cross-functional technical alignment.
What they ask for
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field, with a strong mathematical and engineering foundation.
- 7+ years of industry experience developing and deploying ML/DL models for computer vision or localization at scale.
- Expertise in ML/DL development using PyTorch or TensorFlow, and strong programming skills in Python and/or C++.
- Proven leadership in technical roadmaps, mentoring engineers, and improving model performance and system reliability.
Nice to have
- 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
- Experience with Vision-Language Models or Foundation Models for auto-labeling and long-tail detection.
Pay
$235,000 — $285,000 USD (base salary)
Tools
PyTorch, TensorFlow, Python, C++, Linux, SIFT, ORB, SuperPoint
AI focus
Develops computer-vision and localization ML, including feature extraction, state estimation, synthetic data and active learning, and integration of multimodal localization and vision/fusion foundation models.
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