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 backend engineers collaborate with scientists to deeply understand research context, enabling 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 and novel applications of transformer neural networks.
We test and measure the real customer impact of each model we deploy.
If you excel in scaling backend systems but have a bit less hands-on experience with ML systems (which you happily make up for with your keen interest), we'd love to hear from you!
What will I be doing?Taking algorithms which work offline and putting them in a production settingDeeply understand and modify as neededSolve hard scalability and optimization problemsImprove our dev toolingRun production ML infrastructure and evolve it over timeBuild new data infrastructure to enable explorationEstablish processes for large scale data analyses, model development, validation, and implementationWork with teammates to measure and iterate on algorithm performancePartner deeply with the rest of the team and others to build excellent ML productsWhat skills might I need?These are meant to be indicative, not hard requirements. Excellent pragmatic engineering skillsFamiliar with tools used to write, test, deploy, debug, and monitor softwareComfort owning features from inception to outcome5+ years experience in a production environment, with contributions to the design and architecture of distributed systemsStrong communication skills, both within engineering teams and across disciplinesExcellent programming skillsComfort with ambiguityBSc in Computer Science or similar knowledgeBonus skills & attributesML Ops experienceGPU, Pytorch, OS internalsDeep knowledge of AWS servicesTrack record shipping ML productsLarge scale ETLBenefitsWe 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 also offer Windows for certain roles when needed.#LI-Hybrid
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