Job Description
Develop and implement machine learning models to drive business growth and customer satisfaction
Intercom's Machine Learning team is responsible for defining new features, researching algorithms, and rapidly prototyping in customer hands. We work closely with Product and Design functions to drive product development.
We are a product-focused team with a passion for applying machine learning technology. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
Key Responsibilities:
- Identify areas where machine learning can create value for customers
- Contribute to finding the right machine learning framing of a product problem
- Work with teammates and stakeholders to develop and deploy machine learning models
- Take offline algorithms and put them in a production setting
- Solve hard scalability and optimization problems
- Run production machine learning infrastructure and evolve it over time
- Build new data infrastructure to enable exploration
- Establish processes for large-scale data analyses and model development
- Partner with teammates to measure and iterate on algorithm performance
Requirements:
- Excellent pragmatic engineering skills
- Familiarity 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 distributed systems
- Strong communication skills within engineering teams and across disciplines
- Excellent programming skills
- Comfort with ambiguity
- BSc in Computer Science or similar knowledge
Bonus Skills and Attributes:
- Deep knowledge of AWS services
- Machine Learning Operations experience
- Large-scale computation experience
- Track record shipping machine learning products
- Experience in a research environment
- Algorithmic optimization experience
- Advanced education in CS, ML, Math, Stats, or similar
- Practical statistics knowledge
- Experience in applicable machine learning areas
Benefits:
- Competitive salary and equity in a fast-growing start-up
- Regular compensation reviews
- Pension scheme and match up to 4%
- Life assurance and comprehensive health and dental insurance
- Flexible paid time off policy
- Paid maternity and paternity leave
- Cycle-to-Work Scheme and secure bike storage
- MacBooks and other equipment to get the job done
At Intercom, we value diversity and inclusion and are committed to an inclusive and diverse work environment. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.