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 focused 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?Play an active role in hiring, mentoring and career development of other engineersRaise the bar for technical standards, performance, reliability, and operational excellenceIdentify areas where ML can create value for our customersIdentify the right ML framing of product problems - Working with teammates and Product and Design stakeholdersConduct exploratory data analysis and research - Deeply understand the problem areaResearch and identify the right algorithms and tools - Being 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 productsWhat skills might I need?5-8 years applied ML experiencePrevious background in a senior/staff role (data science, software development or academic)Significant, demonstrated impact that your work has had on the product and/or the teamsStrong programming skillsExperience as the primary technical leader for a teamStrong 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 skillsBonus skills & attributesTrack 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.BenefitsWe are a well treated bunch, with awesome benefits!
If there's something important to you that's not on this list, talk to us!
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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
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