Required Qualifications
- 3–5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
- In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
- Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
- Strong proficiency in Python and a deep understanding of software design principles and development best practices.
- Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
- Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
- Proven ability to work effectively in a collaborative, cross-functional team environment.