Staff Product Engineer, AI

We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.

We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing?

Product Engineers in the AI Group Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.. Contribute to all phases of software development including ideation, prototyping, and implementation and testing. Play an active role in the hiring, mentoring, and career development of other engineers.

Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin. Profile we’re looking for These are meant to be indicative, not hard requirements. 10+ years of experience shipping high-quality products. No ML experience required.

We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes Bias towards progress over perfection BSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role #LI-Hybrid At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future.

Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Policies Fin has a hybrid working policy.

We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin.

We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics.

Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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Fonte: Statistisches Bundesamt (Destatis), tabela; dl-de/by-2-0; cálculo da StarIn

Publicada em 01 de nov. de 2026

Publicada em 01 de nov. de 2026