AI Research Scientist: LLM Reasoning & Agentic Systems

Alexander Chapman Ltd; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Alexander Chapman Ltd. is seeking exceptional Research Scientists / Members of Technical Staff to join the core team and drive research across LLM reasoning, post-training, reinforcement learning, and agentic systems.

You will lead end-to-end projects, develop novel approaches, and push ideas into real-world prototypes with a highly technical founding team. The role emphasizes strong experience in ML/NLP with LLMs, Python and PyTorch/JAX expertise, and a track record of taking research from

Qualifications

• Strong experience in Machine Learning, NLP, or AI research, particularly with LLMs.
• Expertise in one or more areas: LLM post-training, reinforcement learning, reasoning, agentic systems, or model evaluation.
• Strong Python and PyTorch / JAX experience.
• A track record of taking research ideas from experimentation through implementation.
• Publications at NeurIPS, ICML, ICLR, ACL, or similar venues are a plus.

Responsibilities

• Lead end-to-end research projects across LLM reasoning, post-training, and agent architectures.
• Develop novel approaches to improve the capabilities, reliability, and safety of autonomous AI agents.
• Explore areas such as reinforcement learning, RLHF, tool use, multi-agent systems, and advanced reasoning.
• Design experiments, evaluate model performance, and push research ideas into working prototypes and real-world products.
• Work closely with a highly technical founding team and have a direct impact on the company's research direction.

Skills

Python

Machine Learning

NLP

LLM research

Publications

Tools

PyTorch

JAX

Job description

Alexander Chapman Ltd. is seeking exceptional Research Scientists / Members of Technical Staff to join the core team and drive research across LLM reasoning, post-training, reinforcement learning, and agentic systems.

You will lead end-to-end projects, develop novel approaches, and push ideas into real-world prototypes with a highly technical founding team. The role emphasizes strong experience in ML/NLP with LLMs, Python and PyTorch/JAX expertise, and a track record of taking research from