- Apply and adapt machine-learning and reinforcement-learning research to OD’s product roadmap, translating research direction into shippable capability.
- Design, train and evaluate models using reinforcement learning, RLHF and multi-objective policy optimization, balancing competing objectives such as accuracy, safety, latency and cost.
- Work on LLM post-training, including fine-tuning, alignment, reward modelling and rigorous evaluation.
- Prototype quickly and collaborate with engineering teams to harden research models into production systems.
- Define evaluation frameworks for frontier models and audit decision-making processes.
- Engage directly with customers and stakeholders to explain technical approaches and integrate real-world requirements into the research agenda.
- Contribute to the research and product vision by identifying future developments and building priorities.
Machine LearningLLM