Machine Learning Scientist – Large Multimodal Models

🕒 August 28

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Iambic Therapeutics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

💰 Series B on 2024-04

Healthcare • Consulting • Manufacturing

Iambic Therapeutics is a pioneering biotechnology company that leverages advanced AI algorithms for drug discovery. Their innovative, high-throughput experimental platform aims to address unmet patient needs by optimizing molecules for various therapeutic targets. The company's AI-driven approach allows it to rapidly explore chemical spaces, revealing novel drug mechanisms and delivering high-quality leads at an accelerated pace compared to traditional methods.

📋 Description

• Research and develop post-training strategies for large-scale multimodal foundation models • Design reward functions, training objectives, data-generation strategies, and evaluation protocols for reinforcement learning and other post-training approaches applied to multimodal LLMs • Build systematic experimentation and hyperparameter optimization workflows to explore post-training recipes, model configurations, and training strategies • Develop and apply inference optimization techniques for high-throughput model evaluation and interactive discovery workflows • Design and maintain benchmarking and evaluation frameworks across modalities, downstream tasks, and scientific use cases • Collaborate with ML and software engineering colleagues to productionize models, evaluation systems, and inference services • Partner with computational chemists, medicinal chemists, and biologists to ground model development and post-training objectives in drug discovery needs • Communicate results to internal teams, external partners, and at conferences • Write, refactor, test, document, and package high-quality research and engineering code • Research and develop AI-based discovery technologies for Iambic Therapeutics' drug discovery platform

🎯 Requirements

• 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 with reinforcement learning approaches such as RLHF, RLAIF, PPO, GRPO, RL with verifiable rewards, or related methods (strongly preferred) • Experience with supervised fine-tuning, full-parameter fine-tuning, parameter-efficient fine-tuning (LoRA), or related methods • Systematic hyperparameter optimization or large-scale experimentation using tools such as Optuna, Ray Tune, or similar frameworks • Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging • Comfort with modern ML infrastructure such as Docker, CUDA, Kubernetes, and experiment tracking tools such as Weights & Biases • Experience with multimodal or multi-task model architectures (preferred) • Training and inference optimization, including mixed precision, kernel optimization, quantization, or distributed strategies (preferred) • Familiarity with biomedical, chemical, or biological data domains (preferred) • Distributed training at scale (preferred) • HPC or large-scale training operations experience (preferred)

🏖️ Benefits

• Private medical insurance • Life assurance • Pension contributions • Flexible holiday allowances • Modern and collaborative work environment in the centre of Bristol