AI Research Engineer for AI Research team to develop and innovate diffusion-based generative models, Vision-Language Models, and auto-annotation pipelines for autonomous robots.
Requirements
- 3+ years in deep-learning R&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record.
- Demonstrated expertise in diffusion models and multimodal transformers / VLMs.
- Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision.
- Advanced proficiency in Python, PyTorch (or JAX), experiment tracking and scalable training.
- Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning.