Client:IntercomLocation:Ireland, IrelandJob Category:OtherEU work permit required:YesJob Reference:8cb9055c97a2Job Views:3Posted:19.04.2025Job Description:Intercom is an AI-first customer service platform that helps businesses deliver better, faster, more personalized support.Intercom is bringing AI-first Customer Service to the world, dramatically improving experiences for customers, support agents, and managers alike. Modern, fast, and easy-to-use, Intercom’s complete AI-first Customer Service Platform enhances the customer experience, improves operational efficiency, and scales with our customers’ business every step of the way. Intercom is also the most innovative and fastest improving product on the market, shipping over 200 product improvements every year.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, working in partnership with Product and Design functions. Our dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are passionate about applying machine learning technology, having productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms and 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 problemsWork with teammates and Product and Design stakeholdersConduct exploratory data analysis and researchDeeply understand the problem areaResearch and identify the right algorithms and toolsBe pragmatic, but innovate 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 the team to build excellent ML productsWhat skills might I need?Broad applied machine learning knowledge3-5 years applied ML experiencePractical stats knowledge (experiment design, dealing with confounding, etc.)Strong communication skills, both within engineering teams and across disciplinesComfort with ambiguityTypically have advanced education in ML or related field (e.g., MSc)Scientific thinking skillsTrack 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, clustering)Strong stats or math backgroundBenefitsWe 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 kitchenPeace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependentsOpen vacation policy and flexible holidays so you can take time off when you need itPaid maternity leave, as well as 6 weeks paternity leave for fathersCycle-to-Work Scheme with secure bike storageMacBooks as standard equipmentHybrid working policy with in-office expectationsIntercom has a radically open and accepting culture. We respect personal opinions and expression on non-work related topics. Our goal is to focus on achieving our goals and uniting the company through our core values.Intercom values diversity and is committed to a policy of Equal Employment Opportunity. We will not discriminate against an applicant or employee on any legally recognized protected basis.Please note that if you are NOT a passport holder of the country for the vacancy, you might need a work permit.Bank or payment details should not be provided when applying for a job. Eurojobs.com is not responsible for any external website content. All applications should be made via the 'Apply now' button.
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