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.