Senior ML Engineer — HD Maps & Lane Network

May Mobility; United States; Remote; USD 210,000 - 245,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Rich retirement benefits

Flexible vacation policy

Job summary

May Mobility is hiring for a role focused on advancing autonomous vehicle mapping technologies. This position requires a Ph.D. or Master’s degree in Computer Science or a related field with at least 7 years of experience in developing and deploying machine learning models. Responsibilities include leading the design of neural networks, managing data strategies, and collaborating with engineers for seamless implementation. May offers a competitive salary range and comprehensive healthcare benefits, aiming to foster a diverse inclusive workplace.

Qualifications

• 7+ years of industry experience developing ML/DL models for mapping.
• Strong understanding of HD maps and lane network modeling.
• Proven leadership in guiding technical roadmaps and mentoring.

Responsibilities

• Lead design and validation of neural networks for mapping.
• Own the end-to-end data strategy for lane and route networks.
• Collaborate on deployment and validation of mapping features.

Skills

Vectorized mapping networks

Cross-modal calibration and fusion

Computer Vision Foundations

Expertise in ML/DL using PyTorch

Strong programming skills in Python

Education

Ph.D. or Master’s degree in relevant field

Tools

PyTorch

TensorFlow

Job description

May Mobility is hiring for a role focused on advancing autonomous vehicle mapping technologies. This position requires a Ph.D. or Master’s degree in Computer Science or a related field with at least 7 years of experience in developing and deploying machine learning models. Responsibilities include leading the design of neural networks, managing data strategies, and collaborating with engineers for seamless implementation. May offers a competitive salary range and comprehensive healthcare benefits, aiming to foster a diverse inclusive workplace.