Research Engineer

Oxford Dynamics is seeking a Research Engineer to bridge frontier ML research and deployed products, focusing on reinforcement learning, RLHF, and LLM post-training for defence and security applications.

• Apply and adapt machine-learning and reinforcement-learning research to product roadmap
• Design, train and evaluate models using reinforcement learning, RLHF and multi-objective policy optimization
• Work on LLM post-training: fine-tuning, alignment, reward modelling and rigorous evaluation
• Prototype fast and work with engineering teams to harden into production
• Define evaluation and auditing of frontier models
• Engage directly with customers and stakeholders
• Shape research and product vision

• PhD in AI, machine learning or closely related field, or current postdoctoral position
• Strong grounding in machine learning and reinforcement learning, including RLHF
• Hands-on experience with multi-objective policy optimisation
• Solid knowledge of transformer architectures and LLM post-training (fine-tuning, alignment, reward modelling)
• Publications at top-tier AI conferences (ICML, ICLR, NeurIPS, CVPR, etc.)
• Experience with HPCs and CUDA for training large-scale models