Senior Applied Scientist(LLM)

We are seeking a Senior Applied Scientist with strong hands-on experience in building and optimizing large language models (LLMs), agentic AI systems, and end-to-end model training workflows. This role is ideal for scientists with a solid applied background who can translate state-of-the-art research into real-world impact. Collaboration with product, engineering, and research teams is key to shipping intelligent, reliable, and innovative AI capabilities at scale. Requirements M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience. 4+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning. Strong hands-on experience with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks. Familiarity with distributed training, prompt engineering, evaluation strategies, and model deployment best practices. Experience with retrieval-augmented generation (RAG), tool use, planning agents, or long-context modeling is a plus. Solid publication record (e.g., NeurIPS, ICLR, ACL, ICML, EMNLP) is a plus. Strong coding and debugging skills. Comfort working in cross-functional, agile environments. Benefits Vary depending on employment and location. Originally posted on Himalayas