Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
At Intercom, we are building the leading AI for customer service. As we continue to push the boundaries of what’s possible, we are offering a 6-month Machine Learning Research Fellowship to individuals passionate about joining or advancing the field of AI, and applying cutting-edge research to real-world applications.
This fellowship provides a unique opportunity for high potential individuals to conduct or begin work on AI research.
Applicants will generally be a PhD student, postdoctoral researcher, or industry professional passionate about working on cutting-edge AI research projects. We are open to high potential individuals who are attempting to transfer into AI from other disciplines - e.g. candidates with relevant mathematical or technical skills but without much experience in AI.
Fellows will work towards building and improving their understanding of modern AI through project work, on risky and uncertain AI projects.
You may also contribute to the broader AI research community through publications and presentations.
To apply, please submit the following:
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least two days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Is this role not quite what you're looking for? Join our Talent Community to stay connected with us.
Intercom is a fundamentally new way for internet businesses to communicate with customers, personally, at scale. It's a customer communication platform with a suite of integrated products for every team—including sales, marketing, product, and support. Our products enable targeted communication with customers on your website, inside your web and mobile apps, and by email. This contrasts with the old way where a business uses a tangle of point solutions, like marketing automation or helpdesk products, with every team operating in a silo. This makes it hard for teams to work together and be on the same page, resulting in a disjointed and very impersonal experience for the customer.
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Machine Learning Engineer Q&A's