The partner company is seeking a Senior ML Engineer to develop machine learning models for road and lane detection in autonomous vehicles, aiming to enhance vehicle navigation and safety in complex environments.
Requirements
- Strong expertise in 3D BEV space modeling, lane and road geometry, multi-camera calibration, and sensor projection
- Proficiency in Python and PyTorch, with experience translating research code into production-ready systems
- Hands-on experience with multi-modal sensor data (camera, LiDAR, radar) and data management pipelines
- Experience deploying and optimizing ML models for embedded and real-time systems
- PhD in ML or Data Science (preferred)
- CUDA programming (preferred)
- Custom PyTorch operations (preferred)
Responsibilities
- Develop and optimize computer vision algorithms for road and lane detection in monocular and multi-modal contexts
- Design and implement deep learning models for BEV (bird’s eye view) representations integrated into planning and control pipelines
- Analyze model performance, data distributions, and edge cases using advanced data science techniques
- Build efficient pipelines for large-scale data processing, annotation, augmentation, and domain adaptation
- Deploy and optimize ML models for real-time inference on automotive-grade hardware
- Collaborate cross-functionally with robotics, software, hardware, product, and operations teams to ensure seamless system integration
- Mentor junior engineers and contribute to the technical roadmap, staying current with the latest advancements in ML and computer vision
Other
- Bachelor’s degree with 6+ years or Master’s degree with 3+ years of professional experience in Machine Learning Engineering, Autonomous Vehicles, Robotics, or a related field
- Strong analytical, problem-solving, and communication skills, with a track record of mentoring or leading technical teams
- Hybrid or remote work options available in the United States
- Competitive salary ($199,200–$298,800) plus bonus and stock options
- 100% paid medical, dental, and vision coverage
