11 months ago
London, United KingdomStaff+
Responsibilities
- Build systems powering Intercom’s flagship AI products, primarily in the ML Python stack and occasionally in the Rails application.
- Work with ML Scientists to bring proof-of-concept code into robust, scalable production systems.
- Partner with product teams to shape effective AI-powered customer experiences.
- Contribute across ideation, prototyping, implementation, and testing.
- Participate in hiring, mentoring, and career development for engineers.
- Improve technical standards, performance, reliability, and operational excellence across the group.
Requirements
- 10+ years of experience shipping high-quality products.
- Strong software engineering skills and significant demonstrated impact.
- Deep knowledge of a high-level programming language such as Ruby, Python, or JavaScript.
- Strong technical fundamentals, analytical development approach, and willingness to learn ML.
- A BSc in Computer Science, Mathematics, Statistics, or a related discipline.
- Previous data analytics or statistical experience is a bonus.
Benefits
- Competitive salary and equity are offered, with no specific compensation figures stated.
- Weekday lunch, snacks, and a fully stocked kitchen are provided.
- Pension scheme with matching contributions up to 4%.
- Life assurance plus health and dental insurance for employees and dependents.
- Open vacation policy and flexible holidays.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBooks are standard, with Windows available for certain roles.
- Hybrid work policy requiring at least three days per week in the office.
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.