AI Research Scientist
Core
Design, train, and optimize cutting-edge machine learning models including LLMs, multimodal architectures, and on-device inference systems for distributed AI.
Role type
Senior IC AI Research Scientist
Builds
Next-generation AI models and systems for distributed, privacy-preserving AI
Domain
Artificial Intelligence / Machine Learning / Distributed Systems
Deliverable
production ML models
Required skills
Deep learning architectures (transformers, CNNs, RNNs, diffusion models), Large-scale model training and fine-tuning, Python, PyTorch/TensorFlow/JAX, Model optimization (quantization, distillation, pruning), Experimental design and benchmarking
Preferred skills
Distributed training, Edge inference, Generative AI, Reinforcement learning, Privacy-preserving ML (federated learning), Academic publications
Technologies
PyTorch, TensorFlow, JAX, Transformers, Diffusion models
Responsibilities
Design and optimize ML models including LLMs and multimodal architectures; Conduct research on model efficiency and on-device deployment; Prototype novel model architectures and inference strategies; Develop benchmarks and experimental frameworks; Collaborate with engineering to integrate research into production; Analyze results and communicate insights; Document findings and present technical work; Identify emerging technologies and propose research directions
Seniority
Senior, hands-on IC