Lead Machine Learning Engineer
✨ AI Summary
May Mobility is seeking a Lead Machine Learning Engineer to spearhead the development of lane and route network mapping systems. This role is pivotal in enhancing our autonomous vehicle technology, contributing to safer and more accessible urban transit solutions.
Main Responsibilities:
- Lead the design and implementation of advanced neural networks for vectorized mapping and multimodal fusion models.
- Develop a robust lane and route network mapping stack, ensuring integration with perception and behavior modules.
- Oversee data strategy initiatives, focusing on long-tail scenario resolution and data curation.
- Establish metrics for evaluating mapping accuracy and consistency across various operational domains.
- Collaborate with cross-functional teams to translate complex autonomy objectives into actionable requirements.
- Stay updated on cutting-edge mapping techniques and integrate them into production systems.
Qualifications:
- A Ph.D. or Master’s degree in Computer Science, Robotics, or related fields.
- Minimum of 7 years of experience in machine learning or deep learning for mapping and computer vision.
- Expertise in vectorized mapping, BEV representation, and cross-modal fusion.
- Proficiency in PyTorch or TensorFlow, with strong Python or C++ programming skills.
- Demonstrated leadership in technical project management and mentorship.
