Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.
Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!
What's the opportunity?
Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product 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.
What will I be doing?
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Identify areas where ML can create value for our customers
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Identify the right ML framing of product problems
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Working with teammates and Product and Design stakeholders
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Conduct exploratory data analysis and research
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Deeply understand the problem area
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Research and identify the right algorithms and tools
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Being pragmatic, but innovating right to the cutting-edge when needed
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Perform offline evaluation to gather evidence an algorithm will work
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Work with engineers to bring prototypes to production
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Plan, measure & socialize learnings to inform iteration
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Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
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Broad applied machine learning knowledge
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3-5 years applied ML experience
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Practical stats knowledge (experiment design, dealing with confounding etc)
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Intermediate programming skills
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Strong communication skills, both within engineering teams and across disciplines.
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Comfort with ambiguity
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Typically have advanced education in ML or related field (e.g. MSc)
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Scientific thinking skills
Bonus skills & attributes
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Track record shipping ML products
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PhD or other experience in a research environment
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Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
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Strong stats or math background
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Visualization, data skills, SQL, matplotlib, etc.
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
- Competitive salary, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Generous paid time off above statutory minimum
- Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
- Fun events for Intercomrades, friends, and family!
