• Excellent pragmatic engineering skills
• Familiar with tools used to write, test, deploy, debug and monitor software
• Comfort owning features from inception to outcome
• 5+ years experience in a production environment, with contributions to the design and architecture of distributed systems
• Strong communication skills, both within engineering teams and across disciplines
• Excellent programming skills
• Comfort with ambiguity
• BSc in Computer Science, or similar knowledge

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
• 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 backend engineers collaborate with scientists to deeply understand research context, and enable us to move to production fast, often shipping to beta in weeks after a successful offline test
• Taking algorithms which work offline, and putting them in a production setting
• Deeply understand and modify as needed
• Solve hard scalability and optimization problems
• Improving our dev tooling
• Run production ML infrastructure, and evolving it over time
• Build new data infrastructure to enable exploration
• Establish processes for large scale data analyses, model development, validation and implementation
• Work with teammates to measure and iterate on algorithm performance
• Partner deeply with the rest of team, and others, to build excellent ML products