MTS Research

Alexander Chapman; 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

I'm working with a well-funded AI research lab backed by $40M in seed funding, focused on pushing the boundaries of what LLM agents can achieve.

The team is building advanced AI agents capable of reasoning, planning, and executing complex tasks reliably in real-world environments, with the ambition of making these systems more capable, grounded, and accessible.

They're looking for 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.

What You'll Be Working On

• 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.

What They're Looking For

• 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.

Why This Opportunity?

• $40M in seed funding to pursue ambitious AI research.
• Join an early, highly technical team with significant ownership and influence.
• Work directly on the frontier of LLM agents and next-generation AI systems.
• Take research from initial ideas to real-world applications rather than staying purely theoretical.