Machine Learning Engineer

Calendly is seeking a Machine Learning Engineer to join their Data Science & Machine Learning team. You will be responsible for the end-to-end machine learning lifecycle, from problem discovery to model deployment and monitoring. This role involves building and operating ML-powered features to enhance customer experiences and drive business value.

• Own ML powered features from design through deployment
• Partner with product, design, and engineering to scope work
• Understand and troubleshoot ML deployment pipelines
• Use monitoring and observability tools for incident response
• Serve as a subject matter expert for owned features and services
• Champion adoption of AI Tools

• No visa sponsorship is available.

• Must be authorized to work without sponsorship.