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.
As an associate machine learning engineer, you will identify,
shape, apply, conduct, and lead research that matches critical U.S.
· BS in Computer Science or related discipline with three (3) years
of experience; OR MS in the same fields with one (1) year of
· 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
· 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
· Hands-on research: You’ll conduct and lead novel research in
applied machine learning and artificial intelligence.
· Solution development: You’ll work with and lead interdisciplinary
teams to turn research results into prototype operational
capabilities for government customers and stakeholders.
· Strategy: You’ll work with Center leaders and colleagues to plan,
develop, and carry out an overall research strategy, and to
influence the national research agenda regarding future
· Collaboration: You'll actively participate on teams of software
developers, researchers, designers, and technical leads. You'll
build relationships and collaborate with researchers, government
customers, and other stakeholders to understand challenges, needs,
possible solutions, and research directions.
· Mentoring: You'll contribute to improving the overall technical
capabilities of the team by mentoring and teaching others,
participating in design (software and otherwise) sessions, and
sharing insights and wisdom across the SEI Artificial Intelligence
Knowledge, Skills, and Abilities:
· Deep technical knowledge: You have performed extensive research
in applied machine learning and artificial intelligence. You have
worked with tools, techniques, algorithms, software, and
programming languages for deep learning, reinforcement learning,
statistics, sensors and sensor fusion, planning, computer vision,
or related areas.
· 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 premier
researchers and visionaries at Carnegie Mellon and other
universities and organizations. You quickly learn new procedures,
techniques, and approaches. You are forward-looking and can connect
research with practical challenges.
· Knowledge and Learning: You possess broad technical interests
along with a deep knowledge of a particular field such as
human-computer interaction, data analytics and machine learning,
advanced computing, and autonomy and adaptive systems.
· Research practices and publications: You have a track record of
conducting research in machine learning and artificial
intelligence. You have a reputation for the highest level of
research and technical integrity. You have demonstrated
contributions and have published research.
· Familiarity with emerging trends and opportunities: You are
familiar with technical challenges and emerging trends in computing
and information science, and you are aware of opportunities in
industry and government.
· Technical leadership: You have led research projects and have
experience collaborating across research teams and mentoring other
· Proposals: You have formulated and delivered successful research
proposals to funding agencies and led the resulting projects.
· Government projects: You have worked or are familiar with DARPA,
IARPA, Service Labs, or other government research sponsors
Arlington, VA, Pittsburgh, PA
Staff – Regular
Full Time/Part time
- Please visit “ Why Carnegie Mellon ” to learn more about
becoming part of an institution inspiring innovations that change
- Click here to view a listing of employee benefits
- Carnegie Mellon University is an Equal Opportunity
- Statement of Assurance