Machine Learning Scientist - Remote

About The CompanyIambic Therapeutics is a pioneering clinical-stage life sciences and technology company dedicated to transforming drug discovery through innovative AI-driven platforms. Founded in 2020 and headquartered in San Diego, Iambic combines the expertise of leading AI researchers and seasoned drug discovery professionals to accelerate the development of novel medicines. The company has demonstrated the ability to bring new drug candidates into human clinical trials at unprecedented speeds, spanning multiple target classes and mechanisms of action. With a focus on delivering impactful therapies for unmet patient needs, Iambic is advancing a robust pipeline of potential best-in-class and first-in-class clinical assets through internal development and strategic partnerships. The company’s cutting-edge platform leverages advanced machine learning models to revolutionize the way medicines are discovered and developed, positioning Iambic at the forefront of AI-driven therapeutics innovation.About The RoleWe are seeking a highly skilled Machine Learning Scientist to join our innovative team at Iambic Therapeutics. In this role, you will play a critical part in advancing our multimodal transformer models, specifically Enchant, which is trained on diverse biomedical data to facilitate drug discovery. Your responsibilities will span from researching novel model architectures and hybrid modeling approaches to optimizing training and inference processes for large-scale deployment. You will collaborate closely with multidisciplinary teams, including computational chemists, medicinal chemists, and biologists, to ensure that our AI models are aligned with real-world drug discovery needs. This position offers flexibility across experience levels, from Associate Scientist to Research Scientist II, and provides an exciting opportunity to contribute to groundbreaking advancements in AI-enabled medicine development. You will also be involved in communicating research findings, developing robust engineering practices, and mentoring junior team members, fostering a collaborative and innovative environment.QualificationsMS in Machine Learning, Computer Science, or a related STEM field with relevant industry or research experience, or PhD with comparable expertiseProficiency in Python and PyTorch, including end-to-end implementation and training of deep learning modelsExperience with training transformer models at scale in a production environmentStrong engineering practices: reproducible experiments, clean coding, testing, and performance debuggingFamiliarity with modern ML infrastructure such as Docker, CUDA, Kubernetes, and experiment tracking tools like Weights & BiasesExperience with multimodal or multi-task model architectures (desired)Knowledge of training and inference optimization techniques (desired)Experience working with biomedical, chemical, or biological data domains (desired)Experience with distributed training at scale and HPC or large-scale training operations (desired)ResponsibilitiesResearch and develop architectural improvements for large-scale multimodal transformer models tailored to biomedical applicationsInvestigate hybrid modeling approaches that incorporate learned representations with domain-informed structures or inductive biasesOptimize training pipelines for efficiency, stability, and scalability across multi-GPU clustersDevelop inference optimization techniques to support deployment in interactive discovery workflowsDesign and maintain benchmarking and evaluation frameworks to monitor model quality across various modalities and downstream tasksCollaborate with ML and software engineering teams to deploy and operationalize models effectivelyPartner with scientists across chemistry and biology disciplines to ensure models meet drug discovery needsCommunicate research results and technical insights to internal teams, external partners, and at scientific conferencesWrite high-quality, well-documented research and engineering code, including refactoring, testing, and packaging ML componentsMentor interns and junior team members through technical guidance, code reviews, and best practices (depending on experience level)Contribute to the strategic research roadmap for Enchant and related technologiesBenefitsIndustry-leading competitive salaryCompany-paid healthcare coverageFlexible spending accountsVoluntary life insurance options401(k) matching programUncapped paid vacation policyAccess to a state-of-the-art facility in San Diego with onsite gym and dining optionsRemote work flexibility for US and UK-based candidatesEqual OpportunityIambic Therapeutics is committed to fostering an inclusive environment where diversity is valued and all employees are treated with respect. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, religion, or any other characteristic protected by law.