▷ 3 Days Left: Senior Machine Learning Scientist Dublin, Ireland

3 weeks ago

Dublin Pike, Ireland Intercom Full time

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 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 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

PhD 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

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’re happy to get you whatever equipment helps you get your job done

Relocation support for those moving to our offices

#J-18808-Ljbffr

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