Lead ML Engineer - Lane & Route Network Mapping
May Mobility2 months ago
Remote, WorldwideSenior / Staff+
H1B Sponsor
Base Salary
$220k - $270k/yr
Responsibilities
- Lead the research, design, architecture, training, and validation of advanced neural networks for mapping.
- Architect and implement a production-grade lane and route network mapping stack.
- Drive major feature development from inception to deployment.
- Own the end-to-end data strategy for the mapping domain.
- Develop robust metrics and evaluation frameworks for mapping accuracy.
- Work independently with cross-functional teams to define software requirements.
- Collaborate with ML and Autonomy engineers for feature deployment and validation.
- Evaluate and innovate cutting-edge techniques for mapping solutions.
Requirements
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 7+ years of industry experience in ML/DL models for mapping or computer vision.
- Deep expertise in vectorized mapping networks and BEV-based scene representation.
- Strong understanding of HD maps and lane/road network geometry modeling.
- Expertise in ML/DL development using PyTorch or TensorFlow.
- Strong programming skills in Python and/or C++.
- Proven leadership in guiding technical roadmaps and mentoring engineers.
- Strong communication skills for leading technical discussions.
Benefits
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
- Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
- Rich retirement benefits with an immediately vested employer safe harbor match.
- Generous paid parental leave and a phased return to work.
- Flexible vacation policy in addition to paid company holidays.
- Total Wellness Program providing numerous resources for overall wellbeing.