Senior Deep Learning Research Engineer - Lane Detection

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles. We are looking for a Senior Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the team’s algorithmic capabilities.

• This role offers the flexibility to work part-time from our other sites, subject to seat availability.
  
  

• Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
• Lead exploratory investigations into new architectures, training strategies, and data utilization methods
• Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
• Own projects end-to-end — from concept and experimentation to integration and scalable deployment
  
  

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
• 5+ years of hands-on experience in Machine Learning / Deep Learning research and development
• Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
• Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
• Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
• Excellent analytical skills, creativity, and a drive to push the limits of applied research