Machine Learning Scientist, Intercom

• 1-3 years of ML experience. Ideally, in a fast-moving environment (like Intercom), but it's also fine if you worked on interesting and complex problems in research (e.g. as a postdoc or a research assistant, or even in your PhD)
• Intermediate programming skills. You should be comfortable with writing code (mostly) autonomously, considering edge cases and knowing how to test your work
• Solid theoretical foundation in stats and ML. We don't expect you to know how an LLM like Mistral works at low level (although it's great if you do know it!), but you should be well-familiar with things like classification and regression, as well as testing of statistical hypotheses and evaluation of ML models
• Scientific mindset. You're naturally critical and rely on data and evidence when making judgements. You're ready to abandon ideas that turned out to be bad, even if they were your own
• Strong communication skills. You mostly will be communicating to members of engineering teams, but occasionally you'll also have to explain something to a less technical person

Desirable

• 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
• 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