Machine Learning Infrastructure Engineer - Redwood City California

Company: Moloco, Inc.
Location: Redwood City, California
Posted On: 05/03/2024

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/EngineeringPreferred 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)
      
      
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