Machine Learning Engineer

Calendly

Remote
$202,542 - $245,434 usd; not specified; not specif...
Remote
Full ml lifecycle execution
Ml model deployment and monitoring
Python, scala, java, sql
Calendly is seeking a Machine Learning Engineer to join their Data Science & Machine Learning team, focusing on delivering business value through the full machine learning lifecycle. The position requires strong technical skills, extensive experience in machine learning applications, and a collaborative mindset to enhance customer experiences

Job Summary

  • Deliver business value by executing the full machine learning lifecycle hands-on, from problem discovery through model deployment and monitoring.
  • Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
  • Join a high performing AI team and be an integral part of building new, machine learning based experiences for internal and external customers alike.

Matching Summary

Match Score: 85

Calendly is seeking a Machine Learning Engineer to join their Data Science & Machine Learning team, focusing on delivering business value through the full machine learning lifecycle. The position requires strong technical skills, extensive experience in machine learning applications, and a collaborative mindset to enhance customer experiences.

Salary

$202,542 - $245,434 USD; Not specified; Not specified

Skills & Requirements

Must-have

  • Full ML lifecycle execution
  • ML model deployment and monitoring
  • Python, Scala, Java, SQL
  • Tensorflow, PyTorch, Keras
  • Apache Spark, Airflow, VertexAI
  • Time series data analysis
  • Semantic search and embeddings

Nice-to-have

  • Collaborative team environment
  • Curiosity and growth mindset
  • Strong communication skills
  • Remote work proficiency

Key Requirements

  • 4+ years industry experience in applied ML
  • Demonstrated track record shipping ML models
  • Experience with managed ML services (e.g., Vertex AI, SageMaker)
  • Understanding of foundation models and open-source ecosystem
  • Authorized to work lawfully in the United States

Work Rights

Authorized to work lawfully in the United States

Tailored Resume

Cover Letter