Machine Learning Engineer

About this role

Calendly seeks a Machine Learning Engineer to design, build, and operate ML-powered features across the full lifecycle—from problem discovery to production deployment and monitoring. You'll collaborate with cross-functional teams to deliver AI innovations that enhance customer experiences and drive business growth.

What you'll do

• Own ML-powered features end-to-end, from design through deployment and serving in production
• Collaborate with product, design, and engineering teams to scope work and define success metrics
• Execute the complete ML lifecycle including data analysis, feature engineering, model training, validation, and monitoring
• Troubleshoot deployment pipelines and participate in incident response and on-call rotation
• Document domain knowledge and serve as subject matter expert for owned services and data contracts
• Champion adoption of AI tools and best practices across the organization

What they're looking for

• Python, Scala, Java, or SQL programming
• ML frameworks (TensorFlow, Keras, PyTorch)
• ML workflow tools (Apache Spark, Beam, Airflow, Vertex AI)
• Time series analysis and machine learning
• Foundation models, fine-tuning, and prompt engineering
• Statistical modeling and data visualization
• Managed ML services (Vertex AI, SageMaker)
• Communication of technical concepts to diverse stakeholders

Benefits

• Remote work opportunity (US-based)
• Opportunity to work on products used by millions
• Career acceleration and professional growth
• Collaboration with high-performing AI team
• Strong product focus environment