Machine Learning Engineer, Information Security

What you'll do

• Translate research into production-ready ML models for security use cases, from data exploration and development through evaluation, deployment, and monitoring.
• Use generative AI, statistical modeling, reinforcement learning, and data science to address security challenges.
• Collaborate with security teams, software engineers, and researchers to prototype and scale AI/ML security solutions.

What they ask for

• BSc or Master's degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field.
• Strong Python and Scala skills, with experience using ML libraries such as TensorFlow, PyTorch, HuggingFace, and Scikit-learn.
• Hands-on experience with the full ML model lifecycle, production services in cloud-native environments, and deploying models on CUDA devices.
• Solid understanding of security fundamentals, plus proven experience building generative AI applications for real-world use cases.

Nice to have

• Ph.D. in a technical field; in-depth knowledge of ML algorithms and large language models.
• Experience deploying ML or generative AI in cybersecurity; familiarity with AWS, GCP, Apache Spark, security tools, C++ or Swift, or open-source and conference contributions.

Pay

$142,300 and $263,300 (base salary); $150,400 and $277,600 (base salary)

Tools

Python, Scala, TensorFlow, PyTorch, HuggingFace, Scikit-learn, CUDA, AWS

AI focus

Develop and deploy production-ready AI/ML security systems, including generative AI applications, to proactively detect and defend against threats.