Faraday Future is seeking an AI Research and Development Engineer to develop state-of-the-art neural networks for autonomous driving systems, contributing to production ADAS/AD features.
Requirements
- Strong programming skills in Python and experience with deep learning frameworks such as PyTorch.
- Expertise in machine learning, deep learning, and computer vision.
- Experience with transformer architecture and model optimization techniques.
- Proven track record in developing and deploying large-scale machine learning models.
- Publications at top AI conferences (e.g., CVPR, NeurIPS, ICML)
- Experience in the autonomous driving industry
- Familiarity with distributed training systems and high-performance computing
Responsibilities
- Develop and implement AI algorithms, models, and data pipelines for end-to-end autonomous driving tasks.
- Design, train, and deploy large deep learning models that leverage vast amounts of labeled and unlabeled data from a fleet of vehicles.
- Develop novel state-of-the-art neural networks and push the boundaries of AI research and engineering for autonomous driving.
- Work on cutting-edge AI technologies, including large multimodal models, multi-task learning, and generative models.
- Optimize model efficiency for large-scale training and inference.
- Collaborate with cross-functional teams to integrate foundation models into autonomous driving systems.
Other
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- At least 8 years of experience in a similar role.
- Casual dress code + relaxed work environment
- Culturally diverse, progressive atmosphere
