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Job Description
Machine Learning Engineer
Develop and deploy machine learning models to drive customer value, working closely with product and design teams to create innovative solutions.
About the Role
The Machine Learning team at Intercom is responsible for defining new ML features, researching algorithms, and getting prototypes in customers' hands quickly.
Responsibilities
- Identify areas where ML can create value for customers
- Contribute to finding the right ML framing of product problems
- Work with teammates and stakeholders to take algorithms from offline to production
- Solve hard scalability and optimization problems
- Run production ML infrastructure and evolve it over time
- Build new data infrastructure to enable exploration
- Establish processes for large-scale data analyses and model implementation
- 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
- 3+ years of experience in a production environment, with contributions to distributed system design and architecture
Bonus Skills and Attributes
- Deep knowledge of AWS services
- ML Ops experience
- Large-scale computation experience
- Track record shipping ML products
- Experience in a research environment
- Algorithmic optimization experience
- Advanced education in CS, ML, Math, Stats, or similar
- Practical stats knowledge
- Experience in applicable ML areas (e.g., NLP, Deep learning, Bayesian methods)
Benefits
- Competitive salary and equity
- Lunch and snacks provided daily
- Regular compensation reviews
- Pension scheme and match up to 4%
- Life assurance, health, and dental insurance
- Flexible paid time off policy
- Paid maternity and paternity leave
- Cycle-to-Work Scheme and secure bike storage
- Relocation support for those moving to offices
About Intercom
Intercom is a diverse and inclusive organization committed to attracting and retaining a diverse range of people. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.