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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:

    • Python
    • Scala
    • Java
    • SQL
    • Keras
    • Tensorflow
    • PyTorch
    • Apache Spark
    • Beam
    • Airflow
    • VertexAI

    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:

    • Authorized to work lawfully in the United States of America
    • Strong verbal and written communication skills
    • Ability to communicate complex technical concepts to both technical and business stakeholders
    • Comfortable working remotely and with enabling tools like Slack, Confluence

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    Python for Everybody Specialization

    Coursera

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

    Deep Learning Specialization

    Coursera

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

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