Member of Technical Staff - AI Interpretability
803405
Posted: 01/06/2026
- Competitive
- San Francisco - Office
- Permanent
Axiom is working with a well-funded, research-led AI company to hire a Member of Technical Staff. You'll have the chance to tackle complex technical problems, explore novel approaches to machine intelligence, and contribute to work at the cutting edge of the field.
The Company
Our client is a well-funded technology organisation working at the forefront of advanced AI research. Bringing together exceptional technical talent, they are focused on tackling complex challenges that have the potential to shape the future of intelligent systems.
With a deeply collaborative and research-driven culture, the team is given the freedom to explore ambitious ideas, push technical boundaries, and contribute to work that has the potential for lasting impact across the industry.
The Role
We're seeking an exceptional researcher with deep expertise in machine learning and a strong understanding of reinforcement learning, large language models, and representation learning.
You'll be responsible for developing novel methods that use mechanistic interpretability to generate training signals and intrinsic rewards for advanced AI systems.
Responsibilities
- Develop cutting-edge AI learning and training methodologies.
- Explore novel approaches to improving intelligent system performance.
- Drive research into advanced model behaviour and decision-making.
- Build scalable tools and infrastructure for frontier AI experimentation.
- Shape the future of next-generation intelligent systems through impactful research.
- PhD or equivalent experience in Machine Learning, Reinforcement Learning, or related fields.
- Strong track record of impactful AI research, publications, or technical achievements.
- Deep expertise in modern ML, LLMs, and advanced learning systems.
- Hands-on experience with AI experimentation, evaluation, and model optimisation.
- Proficient in Python and leading ML frameworks, with the ability to drive research independently.
- AI interpretability and model analysis expertise.
- Experience with LLMs, agents, and reasoning systems.
- Knowledge of scalable ML infrastructure and experimentation.
- Background in model evaluation and optimisation.
- Strong technical and communication skills.
- Highly competitive salary and rewards package.
- Work on cutting-edge AI research with real-world impact.
- Collaborate with exceptional researchers and engineers.
- Freedom to explore ambitious, high-impact ideas.
- Help shape the future of next-generation AI systems.
Colin Taylor
Director
Apply for this role
Recruitment