Machine Learning Engineer

Carnegie Mellon University - Pittsburgh, PA

Part-time,Full-time - Mid Level

Pittsburgh, PA

Educational Services

About the position

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems, discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities, prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities, and identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape. As a Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research. The AML Lab within the SEI's AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the AML Lab conducts and applies 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. The AML Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in areas such as AI/ML Algorithm Attack Research, AI/ML Algorithm Defense Research, and Applied AML. 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, and 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, and conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments.

Responsibilities

• Building Machine Learning Models and Systems using frameworks such as TensorFlow, PyTorch, Torch, and Caffe.
• Working with modern programming languages including Python, C/C++, and Java.
• Building and working with data pipelines, ETL processes, and backend systems.
• Experimenting with modern and emerging machine learning frameworks, methods, and algorithms in application domains such as computer vision and natural language processing.
• Conducting rapid prototyping to demonstrate and evaluate technologies in relevant environments.
• Evaluating systems for performance and security using novel testing and analysis techniques.
• Collaborating with researchers and government customers to understand challenges, needs, and possible solutions.
• Mentoring and teaching others, participating in design sessions, and sharing insights across the SEI.

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.
• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred.
• A track record of using well-established engineering practices to solve difficult problems.
• An understanding of how to convert research results into functioning prototypes or capabilities.
• Experience leading technical projects in novel areas with limited previous work to build upon.
• Ability to work with leadership to plan, develop, and deliver an overall research strategy.
• Strong written and verbal communication skills; able to convey complex technical ideas in layperson's terms.
• Proficiency in writing funding proposals or pitching ideas for new research projects.
• Ample experience with publishing written or technical artifacts showcasing your work.
• Strong collaboration skills for working with colleagues and sponsors.
• Willingness to guide and mentor junior team members.

Nice-to-haves

• Experience with AI/ML Algorithm Attack and Defense Research.
• Familiarity with government contracting and defense-related projects.

Benefits

• Competitive Salary
• Health Insurance
• Paid Holidays
• Professional Development Opportunities
• Flexible Scheduling
• Tuition Reimbursement