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What We Do:

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

- identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Position Summary:

As a senior machine learning engineer on our team, you will build machine learning capabilities using leading-edge technologies for important and challenging government problems and needs.

Requirements:

• BS in Computer Science or equivalent experience with ten (10) years of experience; MS in Computer Science or equivalent experience with eight (8) years of experience; PhD in Computer Science or equivalent experience with five (5) years of experience.
• Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.
• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance.
• Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

Desired Experience:

• Technical Teamwork: You have experience participating on teams for a variety of machine learning and software development projects. You have experience working in collaborative coding environments, including open-source development projects.
• Knowledge of Department of Defense and Intelligence Community: We consider it a plus if you are familiar with DoD or Intelligence Community practices and missions.

Duties:

• Building Machine Learning Models and Systems: 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 date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms. Our team has recently explored inverse reinforcement learning, adversarial machine learning, and custom hardware for scalable, high-performance machine learning in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

Knowledge, Skills and Abilities:

• Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.
• Dedication: You can meet deadlines while multi-tasking-sometimes under pressure and with shifting priorities.
• Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with researchers at Carnegie Mellon University and other universities and organizations. You quickly learn new procedures, techniques, and approaches.
• Knowledge and Learning: You possess broad technical experience and interest in computer science and applied technology such as human-computer interaction, data analytics and machine learning, advanced computing, autonomy, and adaptive systems.

Location

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Full Time/Part time

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