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We’re looking for Senior Product Engineers to join the AI Infrastructure team to help Intercom build AI-powered products. Product Engineers in AI infrastructure work closely with other ML engineers and our ML Scientists teams. You will deeply understand our product, our ML tech stack, how we develop product, and how we can accelerate that process further. The wider AI group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. AI infrastructure is building a platform to move extremely quickly, adapting to new AI advancements in a matter of days, but providing the safety shield to other engineers so our customers always get a good service. We often provide services at the core of AI systems, and write framework-level code that other engineers and scientists in the AI group use daily. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model and change we deploy.
Job Responsibility:
Build the systems that power Intercom’s flagship AI products
Work alongside our ML engineers and ML Scientists to bring proof-of-concept code to production
Partner with ML engineers and ML scientists to build the underlying platform
Contribute to all phases of software development including ideation, prototyping, and implementation and testing
Play an active role in the hiring, mentoring, and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Requirements:
5+ years of experience shipping high-quality products, preferably backend
Deep knowledge of a high-level programming language (for example, Python, Ruby etc.)
Ability to deep dive into any part of the tech stack
Bias towards progress over perfection
Excited about progress in the AI space
Nice to have:
1+ year of experience building ML-powered products
Built or used ML platforms before
Deep understanding of some distributed systems (e.g. database, caches, queues, streams)
Statistics fundamentals
What we offer:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
MacBooks are our standard, but we also offer Windows for certain roles when needed
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