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Senior Machine Learning Scientist

IIntercom
Seniority
Senior
Model
Remote
Sector
B2B SaaS
Salary
Undisclosed
Contract
Full-Time

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 that works in partnership with Product and Design functions.

What you'll do

  • 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
  • Research and identify the right algorithms and tools
  • 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

What you'll 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

Nice to have

  • 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.

What they offer

  • Competitive salary, annual bonus and equity
  • Regular compensation reviews
  • Generous paid time off above statutory minimum
  • Generous family leave (maternity, paternity)
  • Hybrid working
  • MacBooks are standard, Windows available when needed
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ABOUT INTERCOM

B2B SaaS · Series D stage

700+ employees

4 more open roles at Intercom

This role is English-speaking — no German required.

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