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
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