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Job Description
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 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 customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Deeply understand the problem area
Research and identify the right algorithms and tools
Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of the team, and others, to build excellent ML products
What skills might I need?
Broad applied machine learning knowledge
3-5 years applied ML experience
Practical stats knowledge (experiment design, dealing with confounding etc)
Intermediate programming skills
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g.
MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
Ph D or other experience in a research environment
Deep experience in an applicable ML area.
E.g.
NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
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 :)
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
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
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
Mac Books are our standard, but we're happy to get you whatever equipment helps you get your job done
Relocation support for those moving to our offices
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