Calendly

Machine Learning Engineer

Calendly

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $168,785 - $256,157 per year

About the role

  • Own ML powered features from design through deployment
  • Understand and share domain knowledge
  • Prioritize your work independently
  • Proactively seek and offer support to teammates
  • Understand and troubleshoot our deployment pipelines
  • Use our monitoring and observability tools
  • Serve as a subject matter expert for the features and services

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 (Python / Scala / Java / SQL etc) 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
  • Strong verbal and written communication skills
  • Authorized to work lawfully in the United States of America.
Benefits
  • equity awards
  • competitive benefits
  • Top Performer Bonus program
  • remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine Learningstatistical modelsML modelsPythonScalaJavaSQLKerasTensorflowPyTorch
Soft Skills
independent prioritizationteam supporttroubleshootingsubject matter expertisewillingness to learnverbal communicationwritten communication