Principal Applied Scientist (LLMs)

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We are seeking a highly accomplished Principal Applied Scientist with deep expertise in large language models (LLMs)—including both text and multimodal systems—reinforcement learning, agentic AI architectures, and large-scale model training and inference optimization. This is a senior individual contributor role for a thought leader who brings together cutting-edge research excellence and strong applied instincts. You will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. A strong publication record in top-tier AI and machine learning conferences or journals is required.

• Ph.D. (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 6+ years of experience in AI/ML, with a focus on LLMs, reinforcement learning, or agentic AI systems.
• Strong publication record in top-tier conferences/journals such as NeurIPS, ICML, ICLR, ACL, CVPR, TPAMI, or JMLR.
• Expertise in neural network architectures, self-supervised learning, model alignment, and evaluation methodologies.
• Experience with large-scale distributed training, model optimization, and deployment infrastructure.
• Familiarity with advanced techniques such as retrieval-augmented generation (RAG), model compression, or online/continual learning is a plus.
• Strong coding and prototyping skills (e.g., PyTorch, JAX, TensorFlow) and ability to collaborate with engineering teams on productization.
• Excellent communication and leadership skills in a cross-functional, fast-paced environment.

• Lead the design and development of advanced AI models and agentic systems for real-world applications.
• Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, and long-term memory.
• Collaborate closely with engineering, product, and research teams to align scientific innovations with product strategy and roadmap.
• Mentor junior scientists and provide technical leadership across high-impact projects.
• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.