What will your job look like: 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 All you need is: 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 experience with Transformer-based architectures (e.g., Vision Transformers or similar) 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
