A company is looking for an Applied Machine Learning Engineer to design, build, and deploy ML-driven solutions for cybersecurity.
Key Responsibilities
Develop, train, and deploy machine learning models for security features such as threat detection and risk scoring
Build scalable preprocessing and feature engineering pipelines to ensure robust model performance
Collaborate with product managers and data engineering teams to define requirements and access diverse data sources
Required Qualifications
5+ years of experience in building and deploying machine learning systems in production
Strong background in applied math and machine learning
Proficiency in Python and key ML libraries such as PyTorch and TensorFlow
Experience with scalable data and ML pipelines
Hands-on experience deploying ML models in cloud environments or containerized services
Machine Learning Engineer • Glendale, California, United States