Senior Machine Learning Scientist

About Fin

Fin is a leading AI Customer Agent company dedicated to enabling businesses to deliver flawless customer experiences. Our AI agent, Fin, is the highest-performing on the market, facilitating seamless customer support across service, sales, and e-commerce channels. Built on proprietary AI models, Fin efficiently resolves complex customer issues with minimal setup and can integrate with Intercom's help desk for streamlined support solutions. Founded in 2011, Fin is among the fastest growing and largest private software companies globally, serving nearly 30,000 businesses worldwide. The company values pushing boundaries, rapid innovation, and consistently delivering outstanding customer value.

We are expanding our presence in Berlin, attracted by its combination of top technical talent and vibrant creative culture, alongside proximity to our Dublin and London R&D centers. Over the next year, we aim to hire 100 professionals in Berlin across engineering, AI, data science, product, and design to make significant impact as part of our founding R&D team there.

Role Overview

The Machine Learning team at Fin is responsible for designing innovative ML features, researching cutting-edge algorithms, and swiftly bringing prototypes to customers. Our focus is intensely product-oriented, partnering closely with Product and Design teams. Dedicated ML engineers help rapidly move from prototype to production, often launching betas within weeks of validation. Our solutions span supervised models, unsupervised clustering, and novel transformer neural network applications, always with thorough impact measurement.

Key Responsibilities

• Identify opportunities where machine learning can add substantial value to customers.
• Frame product challenges appropriately for ML solutions.
• Collaborate closely with teammates, Product, and Design teams.
• Perform exploratory data analysis and in-depth research.
• Gain a deep understanding of problem domains.
• Research and select suitable algorithms and technologies.
• Balance pragmatism with innovative approaches when necessary.
• Conduct offline evaluations to validate algorithm effectiveness.
• Work with engineers to transition prototypes into production-ready features.
• Plan, measure, and share insights to guide iterative improvements.
• Engage in close partnerships across teams to develop excellent ML products.

Required Qualifications and Skills

• Extensive applied knowledge in machine learning.
• 3 to 5 years of hands-on ML experience.
• Practical understanding of statistics including experiment design and handling confounding variables.
• Intermediate programming capabilities.
• Effective communication skills within engineering teams and cross-functional groups.
• Comfort dealing with ambiguous problem spaces.
• Advanced education in machine learning or related fields (e.g., MSc).
• Scientific approach to problem-solving.

Preferred Attributes

• Proven history of delivering ML products.
• PhD or research experience in a relevant domain.
• Specialized expertise in fields such as NLP, deep learning, Bayesian inference, reinforcement learning, or clustering.
• Strong foundation in statistics and mathematics.
• Experience with data visualization tools, SQL, and libraries like matplotlib.

Benefits and Culture

• Competitive salary package including annual bonuses and equity.
• Regular salary reviews rewarding excellent performance.
• Generous paid time off beyond legal minimums.
• Family leave options supporting maternity, paternity, and quality family time.
• Hybrid working model with a minimum of three days onsite per week.
• Provision of MacBooks standard; Windows options available for specific roles.
• Unlimited access to Claude Code and other advanced AI tools fostering experimentation.
• Fun and inclusive events for employees and their families.

Company Policies and Work Environment

Fin promotes a hybrid work policy to balance collaboration with flexibility, expecting three days onsite weekly. We foster a radically open, welcoming culture focused on shared values and avoiding divisive topics in work contexts. While respecting individual views expressed privately, the company refrains from publicly engaging in social or political debates to maintain unity. Fin strongly supports diversity and equal employment opportunity, prohibiting discrimination against any applicant or employee on legally protected grounds.