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    Home/Jobs/Machine Learning Engineer

    Machine Learning Engineer

    Calendly

    United States
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    Embeddings
    Python
    Machine Learning
    Keras
    TensorFlow
    PyTorch
    Apache Spark
    Beam
    Apache Airflow
    VertexAI
    SQL
    Java
    Scala
    ETL
    Data Engineering

    Description

    Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level.

    Company: Calendly

    Role: Machine Learning Engineer

    Location: Remote - US

    Experience:

    • 4+ years of industry experience in applied Machine Learning or closely related fields
    • Demonstrated track record of shipping and operating ML models in production

    Key Skills:

    • Machine Learning
    • Python
    • Scala
    • Java
    • SQL
    • Keras
    • Tensorflow
    • PyTorch
    • Apache Spark
    • Beam
    • Airflow
    • VertexAI
    • ETL
    • ML workflow frameworks

    Qualification:

    • Strong programming skills
    • Data engineering skills
    • Proficiency in ML frameworks

    Role Focus:

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

    Other:

    • Opportunity to work on impactful projects
    • Collaborative team environment
    • Career growth and development
    • Remote work arrangement
    • Authorized to work lawfully in the United States of America

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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