Principal Machine Learning Engineer, Palo Alto Networks

Responsibilities:

• Apply Machine Learning to security problems in a production environment
• Come up with innovative solutions to meaningful hard problems
• Work on distributed clusters and GPUs with large amounts of data
• Interact with teams of expert engineers, security researchers, and data scientists
• Build models that protect our customers from malicious code and actors

Requirements & Skills:

• 5+years, MS, or PhD degree in Computer Science, Statistics, a related field or equivalent military experience required
• Be an excellent programmer – experience with distributed cloud systems like GCS or AWS and containers like Docker a plus
• Please highlight your deep learning experience on your resume
• Have a strong working knowledge of machine learning algorithms such as LLMs, CNNs, LSTMs, XGBoost/CatBoost, Byte Pair Encoding schemes, etc.
• Be comfortable working independently, have the ability to come up with novel solutions to difficult problems
• Excellent communication (written and verbal) and presentation skills