Senior Product Engineer
24 hours ago
What's the opportunity?
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. They must 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.
If you are an experienced backend engineer who takes an analytical approach to development and has some hands-on experience with ML systems and platforms, we'd love to hear from you
What will I be doing?
- Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
- Work alongside our ML engineers and ML Scientists to bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.
- Partner with ML engineers and ML scientists to build the underlying platform that helps them shape the best AI-powered product experience for our customers.
- Contribute to all phases of software development including ideation, prototyping, 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 within the group and across Intercom.
Profile we’re looking for
- 5+ years of experience shipping high-quality products, preferably backend.
- You can demonstrate significant impact in the work that you have done.
- You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
- Deep knowledge of a high-level programming language (for example, Python, Ruby etc.) but it doesn’t need to be a language that we use here
- Strong willingness to fight for good outcomes.
- Ability to deep dive into any part of the tech stack.
- Bias towards progress over perfection.
- Excited about progress in the AI space.
Bonus skills & attributes
- 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience.
- Built or used ML platforms before.
- Deep understanding of some distributed systems (e.g. database, caches, queues, streams).
- Statistics fundamentals.
Benefits
We are a well-treated bunch, with awesome benefits If there’s something important to you that’s not on this list, talk to us
- Competitive salary and equity in a fast-growing start-up.
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
- Regular compensation reviews - we reward great work
- Pension scheme & match up to 4%.
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
- Flexible paid time off policy.
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
- If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
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