Senior Machine Learning Engineer

Calendly is seeking a Senior Machine Learning Engineer to join their Data Science & Machine Learning team. This role offers an exciting opportunity to drive innovation in data, analytics, and AI, creating impactful experiences for customers through machine learning.

Key Responsibilities:

• Work with large-scale time series data to build and improve ML models for Calendly's product use cases
• Collaborate with cross-functional teams to prioritize and implement ML requirements
• Develop, productionize, and operate ML models and pipelines at scale
• Leverage cloud services and tools to create high-performing ML systems
• Optimize models to meet latency SLAs and conduct live experiments

Requirements:

• 5+ years of industry experience in applied Machine Learning
• Deep understanding of the full ML lifecycle
• Strong programming skills (Python, Scala, Java, SQL)
• Proficiency in ML frameworks (Keras, TensorFlow, PyTorch)
• Experience with time series data and related ML problems
• Familiarity with Retrieval-Augmented Generation techniques
• Strong communication skills and ability to work remotely

Calendly offers a competitive salary range based on location, along with equity, bonuses, and comprehensive benefits. This role provides an excellent opportunity to work on innovative ML projects and make a significant impact in a growing company.