Posted:
1/13/2024, 1:46:56 AM
Location(s):
Dublin, Leinster, Ireland
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Pay:
$53/hr or $110,240 total comp
It is the only complete customer service solution that provides a seamless customer experience across automation and human support. Customer service teams from more than 25,000 global organizations, including Atlassian, Amazon and Microsoft, use Intercom to send over 600 million messages per month and enable interactions with over 800 million monthly active end users. The company was founded in 2011 and is backed by leading venture capitalist including Bessemer Venture Partners, Kleiner Perkins and Social Capital. We live by our six company values everyday: Success First, Customer Obsessed, Incredibly High Standards, Open Mindedness, Resilience, Impatience, and Positive & Optimistic. They are stitched into the way we work, interact with others, and hold ourselves accountable. We’re eager to hire individuals who are passionate about our mission, deeply aligned with our values, and are excited to help shape the future of customer service.
Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML backend engineers collaborate with scientists to deeply understand research context, and enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
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 we deplo
If you excel in scaling backend systems but have a bit less hands-on experience with ML systems (which you happily make up for with your keen interest), we'd love to hear from you! 🌟
These are meant to be indicative, not hard requirements.
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! :)
We’ve put together descriptions for both Scientist and Engineer archetypes of this role.
In practice, we’re interested in excellent candidates right across this spectrum.
#LI-Hybrid
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.
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.
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Website: https://www.intercom.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 501-1000
Year Founded: 2011
IPO Status: Private
Last Funding Type: Venture - Series Unknown
Industries: CRM ⋅ Marketing Automation ⋅ SaaS ⋅ Sales Automation