Staff Machine Learning Scientist
Dublin, Ireland
Intercom
Faster resolutions, higher CSAT, and lighter support volumes with the only platform to combine the power of automation and human customer support.Intercom is redefining how businesses support their customers using powerful messaging and automation.
Customer service teams from more than 25,000 global organizations, including Atlassian, Amazon and Lyft Business, rely on Intercom to deliver efficient and personal customer experiences at scale. Intercom is used to send over 500 million messages per month and enables interactions with over 600 million monthly active end users.
Join the company helping businesses grow revenue through in-product messaging, and so much more!
Intercom is redefining how businesses support their customers using powerful messaging and automation.
Customer service teams from more than 25,000 global organizations, including Atlassian, Amazon and Lyft Business, rely on Intercom to deliver efficient and personal customer experiences at scale. Intercom is used to send over 500 million messages per month and enables interactions with over 600 million monthly active end users.
Join the company helping businesses grow revenue through in-product messaging, and so much more!
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? 🚀
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Play an active role in hiring, mentoring and career development of other engineers
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Raise the bar for technical standards, performance, reliability, and operational excellence
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Identify areas where ML can create value for our customers
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Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
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Conduct exploratory data analysis and research - Deeply understand the problem area
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Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
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Perform offline evaluation to gather evidence an algorithm will work
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Work with engineers to bring prototypes to production
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Plan, measure & socialize learnings to inform iteration
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Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need? 📖
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5-8 years applied ML experience
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Previous background in a senior/staff role (data science, software development or academic)
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Significant, demonstrated impact that your work has had on the product and/or the teams
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Strong programming skills
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Experience as the primary technical leader for a team
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Strong communication skills, both within engineering teams and across disciplines.
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Comfort with ambiguity
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Typically have advanced education in ML or related field (e.g. MSc)
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Scientific thinking skills
Bonus skills & attributes 🙌
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Track record shipping ML products
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PhD or other experience in a research environment
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Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
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Strong stats or math background
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Visualization, data skills, SQL, matplotlib, etc.
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! :)
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Competitive salary and equity in a fast-growing start-up
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We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
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Regular compensation reviews - we reward great work!
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Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
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Open vacation policy and flexible holidays so you can take time off when you need it
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Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
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If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
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MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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. Intercom is currently able to hire if an employee has a permanent residence in the following locations; Australia, Ireland, England and applicable US states. (California, Colorado, Florida, Illinois, Massachusetts, New York, North Carolina, Texas, and Washington).
Is this role not quite what you're looking for? Join our Talent Community to stay connected with us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Clustering Data analysis Deep Learning EDA Engineering Machine Learning Mathematics Matplotlib ML models NLP PhD Reinforcement Learning Research SQL
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Insurance Parental leave Salary bonus Snacks / Drinks Startup environment
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