PhD Research Scientist Intern

📋 Description Task-specific parameter pruning of foundational video generative models. Combining pruning with complementary optimisation techniques (e.g., DMD, LoRA-based methods). Measuring compute cost, latency, and quality trade-offs with rigorous evaluation. Collaborating with research, engineering, and product teams to move findings toward production. Contributing to the broader research community through publication where results support it. 🎯 Requirements You’re currently completing a PhD (ideally third year or later). You have experience training generative models. You can design, run, and interpret machine-learning experiments with strong scientific rigour. You can develop research code for data processing, model training, and evaluation. You communicate technical work clearly in writing and presentations. You enjoy collaborating with researchers and engineers on technically challenging problems. 🎁 Benefits Interviews conducted virtually. We value pronouns and reasonable adjustments during the interview.