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Fin is an AI Customer Agent company building the highest-performing AI customer support agent on the market. The Machine Learning team is responsible for defining new ML features, researching algorithms, and rapidly prototyping solutions that ship to customers. This role is part of a product-focused team that partners closely with Product and Design to move from offline testing to production in weeks.
You will identify areas where machine learning creates customer value, frame product problems as ML challenges, and conduct exploratory data analysis and research. The work spans classic supervised models, unsupervised clustering, and transformer neural networks. You'll deeply understand problem domains, research and select appropriate algorithms, perform offline evaluation, collaborate with engineers to productionize prototypes, and measure real customer impact.
Key responsibilities include: identifying ML opportunities, framing problems correctly, conducting EDA and research, selecting algorithms pragmatically while innovating at the cutting edge when needed, performing offline evaluation, working with engineers on production deployment, planning and measuring results, and partnering across teams to build excellent ML products.
You bring 3-5 years of applied ML experience, broad machine learning knowledge, practical statistics expertise (experiment design, confounding variables), intermediate programming skills, and strong cross-functional communication. Advanced education in ML or a related field (MSc or PhD) is typical. Bonus qualifications include a track record shipping ML products, research environment experience, deep expertise in NLP, deep learning, Bayesian methods, reinforcement learning, or clustering, strong math/stats background, and data visualization and SQL skills.
Fin operates a hybrid model with expectations to be in the Dublin office at least three days per week. The company offers competitive salary and equity, comprehensive benefits including pension matching, health/dental insurance, flexible PTO, parental leave, relocation support, and access to best-in-class AI tools.
