Senior Machine Learning Engineer

What you'll do

• Build real-world, mission-scale AI capabilities by solving practical engineering problems.
• Design and build well-engineered prototypes of AI systems using frameworks like TensorFlow and PyTorch.
• Develop data pipelines, ETL processes, and backend systems to support machine learning models.
• Research and identify vulnerabilities in AI algorithms to create practical mitigations and defenses.
• Define processes, practices, and tools for operationalizing robust and secure AI capabilities.
• Conduct rapid prototyping to evaluate system performance, security, and novel testing techniques.
• Transition and provide technical guidance on AI capabilities to government sponsors.
• Mentor junior team members and share technical insights across the division.

What we're looking for

• Must have a bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or a related discipline with experience.
• Must have an MS in computer science, statistics, machine learning, electrical engineering, or a related discipline with experience.
• Must have a PhD in computer science, statistics, machine learning, electrical engineering, or a related discipline with experience.
• Must be able to obtain and maintain an active Department of War security clearance.
• Must be willing to work onsite in Pittsburgh, PA or Arlington, VA 5 days per week.
• Must be willing to travel up to 25% of the time to locations outside of the home location.
• Must have comprehensive knowledge of machine learning and a track record of using engineering practices to solve difficult problems.
• Previous experience in adversarial machine learning is desirable (preferred).