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? Identify areas where ML can create value for our customersIdentify the right ML framing of product problemsWorking with teammates and Product and Design stakeholdersConduct exploratory data analysis and researchDeeply understand the problem areaResearch and identify the right algorithms and toolsBeing pragmatic, but innovating right to the cutting-edge when neededPerform offline evaluation to gather evidence an algorithm will workWork with engineers to bring prototypes to productionPlan, measure & socialize learnings to inform iterationPartner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge3-5 years applied ML experiencePractical stats knowledge (experiment design, dealing with confounding etc)Intermediate programming skillsStrong communication skills, both within engineering teams and across disciplines.Comfort with ambiguityTypically have advanced education in ML or related field (e.g. MSc)Scientific thinking skills Bonus skills & attributes Track record shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, 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 and equity in a fast-growing start-upWe serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenRegular compensation reviews - we reward great work!Pension scheme & match up to 4%Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependentsFlexible paid time off policyPaid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved onesIf you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage tooMacBooks are our standard, but we're happy to get you whatever equipment helps you get your job doneRelocation support for those moving to our offices