Senior Machine Learning Engineer

Calendly is seeking a Senior Machine Learning Engineer to join their Data Science & Machine Learning team, reporting directly to the head of the department. This role offers an exciting opportunity to drive innovation through the latest advancements in ML, working with large-scale time series data and implementing solutions that directly impact millions of users.

The position involves full machine learning lifecycle management, from experimentation to production deployment, with a focus on both batch and real-time use cases. You'll be working with cutting-edge technologies and frameworks including Keras, Tensorflow, and PyTorch, while leveraging cloud services for scalable ML systems development.

The role offers competitive compensation varying by location ($170,000 - $276,000), with additional benefits including equity awards and quarterly bonuses. You'll be part of a remote-friendly environment, collaborating with cross-functional teams including software engineering, product managers, and data scientists.

Key responsibilities include developing and optimizing ML models for production traffic, working with time series data, and implementing advanced statistical models for various use cases such as revenue forecasting, churn analysis, and personalization. The ideal candidate will have 5+ years of industry experience, strong programming skills, and excellent communication abilities.

This is an excellent opportunity for a seasoned ML professional looking to make a significant impact at a growing company whose products are used by millions. You'll be joining at a crucial growth phase, working on challenging problems while helping shape the future of scheduling automation through AI and machine learning innovations.