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Home›Jobs›Intercom›Staff Machine Learning Scientist
Intercom

About Intercom

The customer communications platform that personalizes engagement

🏢 Tech👥 1001+ employees📅 Founded 2011📍 Financial District, San Francisco, CA💰 $240.8m⭐ 3.6
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...

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Intercom

Staff Machine Learning Scientist

Intercom • Dublin, Ireland

Posted 1 month agoStaffMachine learning engineer📍 Dublin
Apply Now →

Skills & Technologies

Machine learningPythonTensorFlowKeras

Overview

Intercom is hiring a Staff Machine Learning Scientist to lead the development of AI features and algorithms for customer service solutions. You'll work with technologies like Python and TensorFlow to create impactful machine learning models. This role requires significant experience in machine learning and product-focused development.

Job Description

Who you are

You have extensive experience in machine learning, with a strong background in developing and deploying models that enhance customer experiences. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust machine learning solutions. You thrive in a collaborative environment, working closely with product and design teams to define new features and rapidly prototype solutions. You are passionate about applying machine learning technology to real-world problems and have a track record of measuring the impact of your work on customer satisfaction.

Desirable

Experience with unsupervised learning techniques and clustering algorithms is a plus. Familiarity with deploying machine learning models in production environments will help you excel in this role. You are also comfortable with agile methodologies and have experience working in product-focused teams.

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 for our AI customer service agent, Fin. You will research and implement appropriate algorithms and technologies, ensuring that our solutions are not only innovative but also practical and impactful for our customers. You will collaborate with product managers and designers to understand user needs and translate them into machine learning applications. Your role will involve rapid prototyping, where you will take ideas from concept to beta testing in a matter of weeks, ensuring that we deliver value quickly.

You will also be responsible for testing and measuring the real customer impact of each model you deploy, using data-driven insights to refine and improve our offerings. Your work will directly contribute to transforming customer service experiences for businesses around the globe. You will mentor junior team members, sharing your knowledge and expertise to help them grow in their careers.

What we offer

Intercom is committed to fostering a diverse and inclusive workplace where everyone can thrive. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will be part of a dynamic team that is passionate about leveraging AI to enhance customer service. Join us in our mission to set a new standard for customer experiences and make a meaningful impact in the industry.

Interested in this role?

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