Lead Ml Engineer - Lane & Route Network Mapping

May Mobility

Anywhere
Not specified; not specified; comprehensive health...
**
Vectorized mapping networks like maptr
Bev-based scene representation
Cross-modal calibration and fusion
** May Mobility is seeking a Lead ML Engineer for Lane & Route Network Mapping to enhance their autonomous vehicle technology. The ideal candidate will have a strong background in machine learning and computer vision, with a focus on mapping and localization systems for complex environments. **

Job Summary

  • The Autonomy Mapping & Localization group provides world-class spatial intelligence to model and navigate complex urban, suburban, and rural environments.
  • Candidates will lead the research, design, and deployment of advanced neural networks for vectorized mapping and multi-camera BEV transformers.
  • May Mobility offers comprehensive healthcare, generous paid parental leave, and a flexible vacation policy with immediate vesting retirement benefits.

Matching Summary

Match Score: 75

** May Mobility is seeking a Lead ML Engineer for Lane & Route Network Mapping to enhance their autonomous vehicle technology. The ideal candidate will have a strong background in machine learning and computer vision, with a focus on mapping and localization systems for complex environments. **

Salary

Not specified; Not specified; Comprehensive healthcare suite including medical, dental, vision, life, and disability plans; Rich retirement benefits with immediately vested employer match

Skills & Requirements

Must-have

  • Vectorized mapping networks like MapTR
  • BEV-based scene representation
  • Cross-modal calibration and fusion
  • Transformers or Graph Neural Networks
  • HD maps and lane topology modeling
  • PyTorch or TensorFlow development
  • Python and C++ programming

Nice-to-have

  • Self-supervised learning experience
  • Vision-Language Models usage
  • Model optimization for real-time products
  • Publication record at top-tier conferences
  • Foundation Models for auto-labeling

Key Requirements

  • Ph.D. or Master's degree in Computer Science or related field
  • 7+ years of industry experience in ML/DL for mapping or computer vision
  • Expertise in distributed training and large-scale dataset handling
  • Proven leadership in guiding technical roadmaps and mentoring engineers

Work Rights

Not specified

Tailored Resume

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