RLHF AI Researcher: Generative Models & LLMs

microTECH Global LTD; England; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading tech consultancy is seeking an AI Researcher to develop and refine algorithms for generative models. Candidates should have a PhD in Computer Science or a related field and deep expertise in Reinforcement Learning. Responsibilities include designing experiments and publishing findings in top-tier AI conferences. The position is full-time with hybrid working options available in Cambridge or London, offering the opportunity to work at the intersection of RL, LLMs, and generative modeling.

Qualifications

• PhD required in a relevant field.
• Publications in top-tier AI conferences preferred.
• Strong expertise in Reinforcement Learning and generative models.

Responsibilities

• Develop and refine RLHF algorithms for models.
• Implement deep reinforcement learning methods.
• Train and evaluate LLMs and diffusion models.
• Design experiments for model alignment.
• Collaborate with teams on alignment pipelines.
• Publish findings in AI conferences.

Skills

Reinforcement Learning (policy optimisation)

Deep Learning (PyTorch, JAX, TensorFlow)

Python proficiency

Probability and statistics

Education

PhD in Computer Science or Machine Learning

Tools

PyTorch

JAX

TensorFlow

Job description

A leading tech consultancy is seeking an AI Researcher to develop and refine algorithms for generative models. Candidates should have a PhD in Computer Science or a related field and deep expertise in Reinforcement Learning. Responsibilities include designing experiments and publishing findings in top-tier AI conferences. The position is full-time with hybrid working options available in Cambridge or London, offering the opportunity to work at the intersection of RL, LLMs, and generative modeling.