Machine Learning Scientist

Role Description

We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research, develop, and scale Enchant — our multimodal transformer model trained on a wide variety of biomedical data — pushing the boundaries of what large-scale foundation models can achieve in drug discovery. This role spans architecture research through to production deployment.

• Research and implement architectural improvements to large-scale multimodal transformer models for biomedical applications
• Investigate hybrid modeling approaches that combine learned representations with domain-informed structure or inductive biases
• Optimize training pipelines for efficiency, stability, and scalability across many-GPU clusters
• Develop and apply inference optimization techniques to support deployment in interactive discovery workflows
• Design and maintain benchmarking and evaluation frameworks that track model quality across modalities and downstream tasks
• Collaborate with ML and software engineering colleagues to deploy and operationalize models
• Partner with computational chemists, medicinal chemists, and biologists to ensure model development is grounded in drug discovery needs
• Communicate results to internal teams, external partners, and at conferences
• Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity
• Depending on level:
  • Mentor interns and junior team members through technical guidance, code reviews, and best practices in ML experimentation
  • Contribute to the strategic research roadmap for Enchant and related multimodal technologies

Qualifications

• Required:
  • MS in ML/CS or a computational STEM field with relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth
  • Strong Python and PyTorch experience, including implementing and training deep learning models end-to-end
  • Demonstrated experience training transformer models at scale
  • Strong engineering habits: reproducible experimentation, clean code, testing, and performance-minded debugging
  • Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)
• Desired:
  • Experience with multimodal or multi-task model architectures
  • Training and inference optimization (e.g., mixed precision, kernel optimization, quantization, distributed strategies)
  • Familiarity with biomedical, chemical, or biological data domains
  • Distributed training at scale
  • HPC or large-scale training operations experience

Location

• Remote (US or UK)
• On-site available in Bristol, UK and Boston, US

Benefits

• Industry leading competitive pay
• Company paid healthcare
• Flexible spending accounts
• Voluntary life insurance
• 401K matching
• Uncapped vacation
• Brand-new state-of-the-art facility in beautiful San Diego with an onsite gym and dining
• Easy access to great places to live and play