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