1 year ago
London, United KingdomMid Level / Senior
Responsibilities
- Identify customer opportunities where machine learning can create value
- Frame product problems appropriately for machine learning
- Conduct exploratory data analysis and research
- Understand problem areas deeply and select suitable algorithms and tools
- Perform offline evaluations to determine whether algorithms are effective
- Work with engineers to bring prototypes into production
- Plan, measure, and communicate learnings to inform product iteration
- Partner with Product, Design, engineering, and other stakeholders to build ML products
Requirements
- 3–5 years of applied machine learning experience
- Broad applied machine learning knowledge and intermediate programming skills
- Practical statistics knowledge, including experiment design and handling confounding
- Strong communication skills across engineering and multidisciplinary teams
- Scientific thinking skills and comfort with ambiguity
- Typically advanced education in machine learning or a related field, such as an MSc
- Track record shipping ML products is a bonus
- PhD or research-environment experience is a bonus
- Deep experience in an applicable area such as NLP, deep learning, Bayesian methods, reinforcement learning, or clustering is a bonus
- Strong statistics or mathematics background is a bonus
- Visualization, data skills, SQL, and Matplotlib experience are a bonus
Benefits
- Competitive salary and equity
- Lunch every weekday, snacks, and a fully stocked kitchen
- 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
- Paid maternity leave and six weeks of paternity leave
- Cycle-to-Work Scheme and secure bike storage
- MacBook or other necessary work equipment
- Relocation support
- Hybrid working policy requiring at least three days per week in the office
Tech Stack
MatplotlibSQL
Categories
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.