Senior Machine Learning Engineer

The job overview for this role is labeled as "What's the opportunity?" and provides a summary of the position. The Machine Learning team at Intercom is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in customers' hands. The team works in partnership with Product and Design functions of teams they support and is passionate about applying machine learning technology. The ideal candidate will have excellent pragmatic engineering skills, experience in a production environment, and strong communication skills. Bonus skills include ML Ops experience, large scale computation experience, and experience in an applicable ML area such as NLP or deep learning.

• Identify areas where ML can create value for customers
• Contribute to finding the right ML framing of a product problem
• Work with teammates and Product and Design stakeholders
• Take algorithms which work offline, and putting them in a production setting
• Deeply understand and modify as needed
• Solve hard scalability and optimization problems
• Run production ML infrastructure, evolve it over time
• Build new data infrastructure to enable exploration
• Establish processes for large scale data analyses, model development, validation, and implementation
• Work with teammates to measure and iterate on algorithm performance
• Partner deeply with the rest of team, and others, to build excellent ML products

• Identify areas where ML can create value for customers
• Contribute to finding the right ML framing of a product problem
• Work with teammates and Product and Design stakeholders
• Take algorithms which work offline, and putting them in a production setting
• Deeply understand and modify as needed
• Solve hard scalability and optimization problems
• Run production ML infrastructure, evolve it over time
• Build new data infrastructure to enable exploration
• Establish processes for large scale data analyses, model development, validation, and implementation
• Work with teammates to measure and iterate on algorithm performance
• Partner deeply with the rest of team, and others, to build excellent ML products
• Excellent pragmatic engineering skills
• Familiar 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 the design and architecture of distributed systems
• Strong communication skills, both within engineering teams and across disciplines
• Excellent programming skills
• Comfort with ambiguity
• BSc in Computer Science, or similar knowledge
• Deep knowledge of AWS services (bonus)
• ML Ops experience (bonus)
• Large scale computation experience (bonus)
• Track record shipping ML products (bonus)
• Experience in a research environment (bonus)
• Algorithmic optimization experience (bonus)
• Advanced education in CS, ML, Math, Stats, or similar (bonus)
• Practical stats knowledge (experiment design, dealing with confounding, etc) (bonus)
• Experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering (bonus)
• Visualization, data skills, SQL, matplotlib, etc. (bonus)