Machine Learning Engineer, Information Security

What you'll do

• Develop production-ready AI/ML systems using internal platforms, cloud services, and local compute environments.
• Translate research into deployed machine learning models for specific security use cases.
• Implement generative AI, statistical modeling, and reinforcement learning to address complex security challenges.
• Manage end-to-end ML workflows including data exploration, model development, evaluation metrics, deployment, and monitoring.
• Build and scale AI/ML driven security solutions in collaboration with cross-functional teams.
• Deploy machine learning models on CUDA devices using frameworks like TensorFlow or PyTorch.
• Develop automated systems to proactively detect and defend against cybersecurity threats.

What we're looking for

• Bachelor's or Master's degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field.
• Strong programming skills in Python and Scala with experience using libraries like TensorFlow, PyTorch, HuggingFace, and Scikit-learn.
• Hands-on experience with the full ML model lifecycle including experimentation, deployment, and monitoring.
• Solid understanding of security fundamentals such as network security, incident response, threat modeling, and vulnerability management.
• Experience deploying models on CUDA devices using tools like TensorFlow or Torch.
• Proven experience building generative AI applications for real-world use cases.
• Familiarity with CI/CD workflows, ML pipelines, and scaling production services in cloud native environments.
• Ph.D. in a technical field (preferred); knowledge of advanced ML algorithms, large scale data processing, or proficiency in C++ or Swift (preferred).