Machine Learning Engineer

Who you are

You have a strong background in machine learning and data science, with hands-on experience executing the full machine learning lifecycle from problem discovery through model deployment and monitoring. You are proficient in Python and familiar with machine learning frameworks such as TensorFlow and Keras, enabling you to build and operate ML-powered features that enhance customer experiences. You thrive in collaborative environments, working closely with product, design, marketing, and engineering teams to implement ML models that drive business insights and improve customer journeys.

You are passionate about innovation in data and analytics, and you understand the importance of leveraging machine learning to create impactful solutions. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective collaborator. You are eager to learn and grow in your career, and you are excited about the opportunity to make a significant impact at Calendly.

What you'll do

As a Machine Learning Engineer at Calendly, you will be responsible for delivering business value through the execution of the full machine learning lifecycle. This includes identifying problems, developing models, and deploying them into production. You will work closely with cross-functional teams to understand customer behavior and business performance, using data to drive strategic decision-making and enhance customer experiences. Your role will involve building and operating ML-powered features that create magical experiences for our customers, contributing to the overall growth and efficiency of the company.

You will also be involved in monitoring and maintaining the performance of deployed models, ensuring they continue to deliver value over time. Your work will directly impact the way millions of people use Calendly, making it essential to stay updated with the latest advancements in machine learning and data science. You will have the opportunity to collaborate with talented professionals across various departments, fostering a culture of innovation and continuous improvement.

What we offer

At Calendly, we offer a dynamic work environment where you can grow your skills and advance your career. You will have the chance to work on exciting projects that have a real impact on our customers and the business. We value collaboration and encourage you to share your ideas and insights with the team. Our commitment to professional development means you will have access to resources and opportunities to enhance your skills and knowledge in machine learning and data science. Join us and be part of a team that is dedicated to making a difference through innovation.