Machine Learning Engineer

Calendly is seeking a Machine Learning Engineer to deliver business value by executing the full machine learning lifecycle, from problem discovery through model deployment and monitoring. The ideal candidate will have 4+ years of industry experience in applied Machine Learning or closely related fields and a demonstrated track record of shipping and operating ML models in production.

Requirements

• 4+ years of industry experience in applied Machine Learning or closely related fields
• Deep and demonstrated ability to traverse the full spectrum of ML life cycle
• Experience developing and implementing statistical and ML models
• Hands-on experience implementing ML models using a managed service
• Understanding of foundation models and the open-source ecosystem
• Strong programming and data engineering skills
• Proficiency in ML frameworks such as Keras, Tensorflow, and PyTorch
• Experience working with time series data and related machine learning problems
• Recognize when to seek assistance and willing to learn whatever is needed to get the job done
• Strong verbal and written communication skills

Benefits

• Competitive salary
• Top Performer Bonus program (or Sales incentive)
• Equity awards
• Competitive benefits