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Machine Learning Engineer
1 month ago
Carnegie Mellon University is seeking a highly skilled Machine Learning Engineer to join our team in Pittsburgh, PA. As a member of our AI Division, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research.
The AML Lab within our AI Division focuses on improving the security and robustness of AI systems. You will work with a world-class research community at Carnegie Mellon University to conduct and apply cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn't supposed to.
Your day-to-day engineering tasks will include:
- Identifying and investigating emerging AI and AI-adjacent technologies
- Defining and refining processes, practices, and tools for working with AI
- Designing and building well-engineered prototypes of AI systems
- Transitioning and providing guidance on AI capabilities to government sponsors
You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
Requirements:
- A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with 8 years of experience; OR MS in the same fields with 5 years of experience; OR PhD in with 2 years of experience
- You will be subject to a background investigation and must be able to obtain and maintain a Department of Defense security clearance
- Legally authorized to work for Carnegie Mellon University in the United States
- Willing to travel up to 25% of the time to locations outside of your home location
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We consider applicants for employment without regard to, and do not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.
