About the job
Join Intercom, the leading AI Customer Service company, dedicated to empowering businesses to deliver exceptional customer experiences.
Our AI agent, Fin, stands out as the most sophisticated customer service AI solution available, enabling companies to provide constant, flawless service and revolutionize their customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite, which offers AI-enhanced support for intricate or high-touch inquiries that necessitate human intervention.
Founded in 2011, Intercom is trusted by nearly 30,000 global businesses and is committed to redefining customer service standards. Our core values inspire us to innovate relentlessly, operate with speed and intensity, and consistently provide remarkable value to our clients.
We believe Berlin is an ideal city for those who share our passion for speed and innovation. The city boasts a unique combination of deep technical expertise and a vibrant creative culture, making it a hub for top-tier talent eager to collaborate on ambitious projects. With close ties to our R&D centers in Dublin and London, Berlin is where the best minds come together to thrive.
As we aim to expand our team by hiring 100 professionals across engineering, AI, data science, product, and design over the next year, this is an exciting opportunity to be among the pioneering R&D talents in the region and leave a lasting mark as we develop the world's leading customer agent.
What’s the Opportunity?
The Machine Learning team at Intercom is at the forefront of defining new ML features, researching cutting-edge algorithms and technologies, and swiftly delivering prototypes to our customers.
We are a highly product-focused team, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions within weeks of successful offline testing.
Our passion for machine learning drives us to explore and productize everything from conventional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural network applications. We rigorously test and assess the real customer impact of every model we deploy.
What Will I Be Doing?
Identify opportunities where ML can generate value for our customers.
Determine the optimal ML framing for product challenges.
Collaborate with team members and Product and Design stakeholders.
