Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need.
Machine Learning Scientist
Location
United States + 1 moreAll locations: United States | United Kingdom
Posted
31 days ago
Salary
$148K - $210K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Machine Learning Scientist
Iambic Therapeutics, Inc
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
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