Staff Machine Learning Engineer - Remote

Overview

As a Staff Machine Learning Engineer at Calendly, you will be responsible for delivering business value through the full machine learning lifecycle, collaborating with cross-functional teams to drive impactful solutions.

In Short

• Collaborate with software engineers, product managers, and analysts.
• Design, develop, and deploy ML models and pipelines.
• Leverage cloud-based ML services for rapid model development.
• Optimize ML models for scale and efficiency.
• Deep understanding of modern LLMs and Generative AI.
• Strong foundation in machine learning and statistics.
• Solid software engineering fundamentals with Python.
• Experience in building scalable APIs and cloud deployment.
• Hands-on experience with modern ML tooling.
• Self-motivated and resourceful with a bias for action.

Requirements

• Experience with probabilistic modeling and statistical inference.
• Familiarity with Docker, Kubernetes, and CI/CD for ML workflows.
• Proven experience in deploying models on AWS, GCP, or Azure.
• Ability to work collaboratively and communicate effectively.
• Curiosity and a commitment to continuous learning.
• Comfortable working remotely with tools like Slack and Confluence.
• Authorized to work in the USA without sponsorship.

Benefits

• Competitive salary and equity awards.
• Quarterly Corporate Bonus program.
• Opportunity to work with a talented team.
• Career growth and learning opportunities.
• Flexible remote work environment.