Job Description
What's the opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group 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 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. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing? Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use. Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers. Contribute to all phases of software development including ideation, prototyping, implementation, and testing. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom. Profile we’re looking for These are meant to be indicative, not hard requirements. 5+ years of experience shipping high-quality products. 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes. Bias towards progress over perfection. BSc in Computer Science, Maths or Statistics or related discipline. Bonus skills & attributes Previous experience in data analytics, or statistical role. 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-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular 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 dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. #J-18808-Ljbffr