Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. 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 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. Conduct exploratory data analysis and research
Research and identify the right algorithms and tools
Broad applied machine learning knowledge
~Practical stats knowledge (experiment design, dealing with confounding etc)
~ Bonus skills & attributes
PhD or other experience in a research environment
NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Visualization, data skills, SQL, matplotlib, etc.
Benefits
We are a well treated bunch, with awesome benefits! Competitive salary, annual bonus and equity
Hybrid working
Intercom 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 avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.