ML Scientist: Drug Discovery & Multimodal AI

Iambic Therapeutics, Inc; West of England; Híbrido; GBP 70.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Life assurance

Pension contributions

Flexible holiday allowances

Descripción de la vacante

Iambic Therapeutics, Inc seeks a Machine Learning Scientist to advance post-training methods for multimodal foundation models in drug discovery. You will design RL-based objectives, perform rigorous experimentation, and collaborate across ML, software, and biology teams to deploy scalable inference services.

Ideal candidates have a PhD and strong Python/PyTorch expertise, with experience training large transformer models and modern ML infra.

Formación

• PhD in machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent industry experience demonstrating comparable depth.
• Strong Python and PyTorch skills, including implementing, training, debugging and evaluating deep learning models end-to-end.
• Demonstrated experience training large-scale transformer models.
• Demonstrated experience in reinforcement learning approaches or related methods (RLHF, RLAIF, PPO, GRPO).
• Supervised fine-tuning, full-parameter fine-tuning, parameter-efficient fine-tuning (LoRA).
• Systematic hyperparameter optimization or large-scale experimentation using Optuna, Ray Tune, or similar frameworks.
• Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging.
• Comfort with modern ML infrastructure (Docker, CUDA, Kubernetes, Weights & Biases).

Responsabilidades

• Research and develop post-training strategies for large-scale multimodal foundation models.
• Design reward functions, training objectives, data-generation strategies, and evaluation protocols for RL and other post-training approaches.
• Build systematic experimentation and hyperparameter optimization workflows to explore configurations and training strategies.
• Develop and apply inference optimization techniques to support deployment in high-throughput evaluation and interactive workflows.
• Design and maintain benchmarking and evaluation frameworks across modalities, tasks, and use cases.
• Collaborate with ML and software engineering colleagues to productionize models and inference services.
• Partner with chemists and biologists to ground model objectives in drug discovery needs.
• Communicate results to internal teams and conferences.
• Write high-quality research and engineering code: refactor, test, document, package ML components.

Conocimientos

Python

PyTorch

Transformers

Fine-tuning

Hyperparameter optimization

Experimentation

Educación

PhD in ML or related field

Herramientas

Optuna

Ray Tune

Docker

CUDA

Kubernetes

Weights & Biases

Descripción del empleo

Iambic Therapeutics, Inc seeks a Machine Learning Scientist to advance post-training methods for multimodal foundation models in drug discovery. You will design RL-based objectives, perform rigorous experimentation, and collaborate across ML, software, and biology teams to deploy scalable inference services.

Ideal candidates have a PhD and strong Python/PyTorch expertise, with experience training large transformer models and modern ML infra.