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Staff Machine Learning Scientist

Staff Machine Learning Scientist role at Intercom in Dublin.
Intercom
Hybrid
On-Site
Ireland
Undisclosed salary
Job Description
Intercom is seeking a Staff Machine Learning Scientist to join their team in Dublin, Ireland. This role offers the opportunity to define new ML features, research algorithms, and rapidly prototype solutions for customers. The ideal candidate will play a key role in hiring, mentoring, and developing other engineers, while also raising the bar for technical standards and operational excellence. They will partner with product and design teams to identify areas where ML can create value for customers.

The role involves:
  • Playing an active role in hiring, mentoring and career development of other engineers
  • Raising the bar for technical standards, performance, reliability, and operational excellence
  • Identifying areas where ML can create value for customers
  • Identifying the right ML framing of product problems
  • Conducting exploratory data analysis and research
  • Researching and identifying the right algorithms and tools
  • Performing offline evaluation to gather evidence an algorithm will work
  • Working with engineers to bring prototypes to production
  • Planning, measuring & socializing learnings to inform iteration
  • Partnering deeply with the rest of team, and others, to build excellent ML products

Requirements include:
  • 5-8 years applied ML experience
  • Previous background in a senior/staff role (data science, software development or academic)
  • Significant, demonstrated impact that your work has had on the product and/or the teams
  • Strong programming skills
  • Experience as the primary technical leader for a team
  • 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

Intercom offers:
  • Competitive salary and equity
  • Lunch every weekday, plus snacks and a fully stocked kitchen
  • Regular compensation reviews
  • Pension scheme & match up to 4%
  • Life assurance, health and dental insurance
  • Flexible paid time off policy
  • Paid maternity and paternity leave
  • Cycle-to-Work Scheme
  • MacBooks and other equipment
  • Relocation support
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