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    Home/Jobs/Machine Learning Engineer II

    Machine Learning Engineer II

    Abnormal AI

    United States
    3+ years
    Today
    ₹134–193 LPA
    Full-time
    Remote

    Skills Required

    Python
    NumPy
    Scikit-learn
    PyTorch
    TensorFlow
    SQL
    Pandas
    Apache Spark
    Machine Learning
    NLP
    Computer Vision

    Description

    Abnormal AI is looking for a Machine Learning Engineer to join the Message Detection - Attack Detection team. The team builds an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The role involves designing and implementing systems that combine rules, models, feature engineering, and business and product inputs into an email detection product.

    Company: Abnormal AI

    Role: Machine Learning Engineer II

    Location: Remote - USA

    Experience:

    • 3+ years experience designing, building and deploying machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search
    • 1+ years of experience with writing stable and production level pipelines for model training and evaluation leading to reproducible models and metrics

    Key Skills:

    • Python
    • numpy
    • sklearn
    • pytorch
    • tensorflow
    • SQL
    • pandas
    • spark

    Qualification:

    • BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

    Role Focus:

    • Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product
    • Understand features that distinguish safe emails from email attacks
    • Identify and recommend new features groups or ML model approaches that can significantly improve detection efficacy for a product
    • Train models on well-defined datasets to improve model efficacy on specialized attacks
    • Actively monitor and improve FN rates and efficacy rates for our message detection product attack categories

    Additional responsibilities:

    • Analyze FN and FP datasets to categorize capability gaps and recommend short term feature and rule ideas to improve our detection efficacy
    • Contribute in other areas of the stack: building and debugging data pipelines, or presenting results back to customers in our tools when the occasion arises
    • Work with infrastructure & systems engineers to productionize signals to feed into the detection system

    Nice to have:

    • MS degree in Computer Science, Electrical Engineering or other related engineering field
    • Experience with big data, statistics and Machine Learning
    • Experience with algorithms and optimization

    Other:

    • Base salary range: $160,700—$231,000 USD
    • Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location
    • In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package
    • Abnormal AI is an equal opportunity employer

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