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HomeCompaniesIambic TherapeuticsMachine Learning Scientist — Large multimodal models

Machine Learning Scientist — Large multimodal models

Iambic Therapeutics · Boston Office · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyIambic Therapeutics
TitleMachine Learning Scientist — Large multimodal models
Normalized title-
Department / teamTechnology / Technology, Machine Learning
LocationBoston, MA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-19

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ATS provider jobsActive postings observed through Ashby.Open
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City jobsActive postings in Boston.Open
Department jobsActive postings in Technology.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyIambic Therapeutics
Source8dcede04-47d4-4771-8d2e-23db60b06262
ATS providerAshby

Description

Job Summary 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. You will design and evaluate new model architectures, develop hybrid modeling approaches, optimize training and inference at scale, and work with colleagues across ML and drug discovery to put these models into the hands of scientists making real therapeutic decisions. We are hiring flexibly across levels, from Associate Scientist through Research Scientist II, depending on experience. Key Responsibilities 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. ABOUT IAMBIC THERAPEUTICS 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. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai . MISSION & CORE VALUES Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

Full job record

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Org IDb871490e-84aa-430e-b661-31a4cc17a789
Source ID8dcede04-47d4-4771-8d2e-23db60b06262
Board ID8dcede04-47d4-4771-8d2e-23db60b06262
Providerashby
Provider Job Keybccc58b8-6022-49d4-865b-931176a88b8e
TitleMachine Learning Scientist — Large multimodal models
Normalized Title
Statusactive
Activeyes
Location TextBoston Office
DepartmentTechnology
TeamTechnology, Machine Learning
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMA
CityBoston
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/iambic-therapeutics/bccc58b8-6022-49d4-865b-931176a88b8e
Apply URLhttps://jobs.ashbyhq.com/iambic-therapeutics/bccc58b8-6022-49d4-865b-931176a88b8e/application
First Seen At2026-05-29 06:29:17Z
Last Seen At2026-06-19 09:25:59Z
Last Checked At2026-06-19 09:25:59Z
Last Changed At2026-05-29 06:29:17Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=iambic-therapeutics/date=2026-06-19/2026-06-19T09-25-50-175Z-647d561f59f666858a4be1405b38ee6ab9df44ca8ad6452d6187f7c1f5ab04dd.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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}
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