Senior Machine Learning Scientist

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better.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.Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.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 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 disciplines.Comfort 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, clusteringStrong stats or math backgroundWe are a well treated bunch, with awesome benefitsIf there's something important to you that's not on this list, talk to usCompetitive salary and equity in a fast-growing start-upWe serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenPension 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 officesIntercom 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 expect employees to be in the office at least three days per week.We have a radically open and accepting culture at Intercom.We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications.We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics.Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values .Intercom values diversity and is committed to a policy of Equal Employment Opportunity.Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.Interested in building your career at Intercom?Get future opportunities sent straight to your email.Apply for this jobindicates a required fieldFirst Name *Last Name *Email *Phone *Location (City) *Resume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfAre you authorised to work in the country in which this role is located?(Intercom sponsors immigration for some roles so we encourage you to still apply if you require sponsorship.) * Select...Current Location * Select...NOTEfor US locations : A "Metro" selection means that you live 75 miles (straight line radius) from the metropolitan geographic city center zip code.Are you willing to relocate?* Select...Have you previously worked for Intercom?* Select...Current or most recent company?*LinkedIn ProfileWebsite /Publications (eg. Google Scholar)/ Github URLHow did you hear about this job?Do you have 5+ years of experience working with Machine Learning?* Select...We work under a hybrid in-office model.Are you willing to work from our office location 3 days per week?* Select...Please email me about future job openings * Select...#J-18808-Ljbffr