over 1 year ago
Dublin, IrelandSenior
Responsibilities
- Build the systems powering Intercom’s flagship AI products, primarily in the Python ML stack and sometimes across the Ruby on Rails application.
- Work with ML Scientists to bring proof-of-concept code into robust and scalable production systems.
- Partner with product teams to shape effective AI-powered customer experiences.
- Contribute to ideation, prototyping, implementation, and testing across the software development lifecycle.
- Participate in hiring, mentoring, and career development for other engineers.
- Raise technical standards for performance, reliability, and operational excellence.
Requirements
- 5+ years of experience shipping high-quality products.
- Strong software engineering fundamentals and demonstrated significant impact in previous work.
- Deep knowledge of a high-level programming language such as Ruby, Python, or JavaScript.
- A BSc in Computer Science, Mathematics, Statistics, or a related discipline.
- Previous experience in data analytics or a statistical role is a bonus.
- Machine learning experience is not required, but hands-on experience with ML systems is welcomed.
Benefits
- Competitive salary and equity are offered, with regular compensation reviews.
- Pension scheme with matching up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off policy.
- Paid maternity leave and six weeks of paternity leave for fathers.
- Cycle-to-Work Scheme and secure bike storage.
- MacBooks are standard, with Windows available for certain roles.
- Hybrid working policy requiring employees to be in the office at least two days per week.
Tech Stack
Categories
ML EngineeringProduct Engineering
About Intercom
Intercom builds a customer service platform that combines an AI agent (Fin), live chat, and a modern help desk to support sales and support teams. It sells its software as a SaaS subscription to businesses that want to manage customer conversations across web, mobile, and email with automation and analytics. Founded in 2011 and headquartered in San Francisco, the company is privately held and serves startups through large enterprises.