Senior Machine Learning Engineer - Secure AI Lab
Core
Engineering solutions to secure AI and ML algorithms against adversarial attacks and vulnerabilities for government sponsors.
Role type
Senior Machine Learning Engineer (Adversarial AI & Security)
Builds
Well-engineered prototypes of secure AI systems, data pipelines, and backend systems.
Domain
Defense and National Security / Adversarial Machine Learning
Deliverable
production ML models
Required skills
Machine learning, adversarial machine learning, Python, C/C++, Java, TensorFlow, PyTorch, Torch, Caffe, data pipelines, ETL, rapid prototyping, system evaluation, technical experimentation
Preferred skills
Experience in computer vision, NLP, planning and scheduling, robot control, publishing technical artifacts, leading technical projects in novel areas
Technologies
TensorFlow, PyTorch, Torch, Caffe, Python, C/C++, Java
Responsibilities
Design and build well-engineered prototypes of AI systems; Conduct rapid prototyping to demonstrate and evaluate technologies; Evaluate systems for performance and security; Test capabilities using novel testing and analysis techniques; Mentor junior team members and share insights across the division
Seniority
Senior, hands-on IC with mentorship responsibilities