Intercom

About Intercom

The customer communications platform that personalizes engagement

🏢 Tech👥 1001+ employees📅 Founded 2011📍 Financial District, San Francisco, CA💰 $240.8m3.6
B2BEnterpriseCommunicationCustomer serviceSaaSAutomation

Key Highlights

  • Over 25,000 customers including Amazon, Meta, and Atlassian
  • Reaches 600 million end users monthly
  • $240.8 million raised in Series C funding
  • Headquartered in San Francisco, CA with 1001+ employees

Intercom is a leading customer communications platform headquartered in the Financial District of San Francisco, CA. With over 25,000 businesses using its services, including Amazon, Meta, and Atlassian, Intercom reaches approximately 600 million end users each month. The company has raised $240.8 m...

🎁 Benefits

Intercom offers a generous open vacation policy, health insurance, and a wellness program that covers gym expenses up to £90 quarterly. Employees enjo...

🌟 Culture

Intercom fosters a culture centered around customer-centric innovation and effective communication. The company prioritizes remote work flexibility an...

Intercom

Machine Learning Engineer Staff

IntercomLondon

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Overview

Intercom is hiring a Staff Machine Learning Scientist to lead the development of innovative AI solutions for customer service. You'll work with technologies like Python, TensorFlow, and PyTorch to enhance customer experiences. This role requires extensive experience in machine learning and AI applications.

Job Description

Who you are

You have a strong background in machine learning and AI, with at least 5 years of experience in developing and deploying machine learning models. Your expertise in Python is complemented by your familiarity with frameworks such as TensorFlow and PyTorch, allowing you to build robust ML solutions that drive real customer impact. You understand the intricacies of natural language processing (NLP) and have applied these techniques in practical scenarios, enhancing user interactions through AI. You thrive in collaborative environments, working closely with product and design teams to translate complex problems into actionable ML features. Your analytical mindset enables you to research and implement appropriate algorithms, ensuring that the solutions you develop are both innovative and effective. You are passionate about leveraging machine learning technology to improve customer experiences and are eager to push the boundaries of what is possible in AI.

Desirable

Experience with unsupervised learning techniques and clustering algorithms is a plus, as is familiarity with deploying models in production environments. You may have worked on projects that involve real-time data processing or have experience with MLOps practices to streamline model deployment and monitoring. A background in customer service applications or AI-driven solutions will further enhance your fit for this role.

What you'll do

As a Staff Machine Learning Scientist at Intercom, you will lead the charge in defining and developing new machine learning features that enhance our AI customer service solutions. You will collaborate with cross-functional teams, including product managers and designers, to ensure that the ML features you create align with customer needs and business goals. Your role will involve researching and selecting the most appropriate algorithms and technologies for each project, rapidly prototyping solutions, and iterating based on customer feedback. You will also be responsible for measuring the impact of the models you deploy, ensuring that they deliver tangible benefits to our users. Your contributions will help shape the future of customer service, as you work on cutting-edge applications of machine learning and AI.

What we offer

At Intercom, we foster a culture of innovation and collaboration, where your ideas can make a significant impact. You will have the opportunity to work with a talented team of engineers and product professionals who are dedicated to pushing the boundaries of AI technology. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to transform customer experiences through the power of AI.

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