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    Machine Learning Infrastructure Engineer - Redwood City, CA, United States - Moloco, Inc.

    Moloco, Inc.
    Moloco, Inc. Redwood City, CA, United States

    1 week ago

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    Description

    About the Role

    Moloco is a machine learning company operating at massive scale (we ingest 10 petabytes of training data per day) and our models are blazingly fast (returning predictions in 10 milliseconds or less); and a profitable unicorn (we're valued at $2B & been profitable for the last 13+ quarters).

    We are seeking an exceptional Senior Software Engineer to join us in building state-of-the-art machine learning infrastructure for our mobile advertising platform. You will be part of the engineering team that builds systems to train deep-neural-network machine learning (ML) models, as well as the infrastructure to deploy them for real-time, high-scale ad targeting.

    We're looking for a seasoned engineer to design, build and support the machine learning platforms that will power the future of Moloco's growth. Your work will span our flagship user- and advertiser-facing products. Relevant technologies we use at Moloco include Tensorflow, Airflow, BigQuery, Dataflow, Kubernetes, Google Cloud Platform, Terraform and the C++, Go and Python programming languages.

    What you'll do

    • Build systems to train and serve dozens of ML models updated hundreds of times per day
    • Use state-of-the-art hardware accelerators (e.g. GPUs) to optimize ML training & inference
    • Deploy and respond to system alerts to maintain Moloco's real-time large-scale ML-based advertising platform in healthy operation
    • Leverage your knowledge of cloud infrastructure to optimize the cost, reliability and maintainability of our platform
    • Collaborate with ML modeling engineers and other partners in the company to build the best mobile advertising platform in the world

    What you'll need to succeed

    • 4+ years software development experience on backend/infrastructure systems, in C#, C++, Go, Java or Python
    • 1+ years of cloud experience (deep expertise in using GCP, AWS and/or Azure)
    • Strong Computer Science fundamentals and problem-solving skills
    • Strong software development skills, from requirements to design to implementation
    • Mastery of multiple skills involved in developing large scale systems such as integration testing, deployment, monitoring, production troubleshooting, database schema design, or developing data processing pipelines
    • Strong written and verbal communication skills
    • Bachelor's Degree in Computer Science/Engineering Preferred Qualifications
    • Experience with machine learning frameworks (e.g. TensorFlow, PyTorch)
    • Experience with machine learning model architectures
    • Experience with ML hardware accelerators (e.g. GPUs, TPUs)
    #J-18808-Ljbffr
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