Full-Time

Senior Machine Learning Research Scientist

Secure AI Lab

Posted on 5/16/2026

Carnegie Mellon University

Carnegie Mellon University

51-200 employees

University training problem solvers and innovators

No salary listed

No H1B Sponsorship

Arlington, VA, USA + 1 more

More locations: Pittsburgh, PA, USA

In Person

Onsite five days per week; up to 25% travel to SEI Pittsburgh/DC offices, sponsor sites, and conferences.

US Top Secret Clearance Required

Category
AI & Machine Learning (1)
Required Skills
Machine Learning
Requirements
  • A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience
  • OR MS in the same fields with eight (8) years of experience
  • OR PhD with five (5) years of experience
  • Willingness to work onsite at an SEI facility 5 days per week
  • Be able to obtain and maintain an active Department of War security clearance
  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences
  • Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required
  • A track record of conducting research and applying scientific method to solve difficult problems
  • Experience leading research 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; ability 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
Responsibilities
  • Identifying and investigating emerging AI and AI-adjacent technologies
  • Performing and publishing impactful original research in the field of AI and ML algorithm vulnerabilities and securing against those vulnerabilities
  • Adapting and applying existing research in the field to solve real-world problems
  • Transitioning and providing guidance on AI capabilities to government sponsors
  • 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 the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology
  • 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 Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division
Desired Qualifications
  • Previous experience in adversarial machine learning preferred but not required
Carnegie Mellon University

Carnegie Mellon University

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What Carnegie Mellon University does: It provides higher education and research across a wide range of fields, especially technology, engineering, sciences, and the arts, helping students become ready to enter the workforce and pursue innovative work. How its products work: It offers degree programs (bachelor’s, master’s, doctoral) and professional schools where students learn through classes, labs, projects, research opportunities, and collaborations with industry and the community. How it differentiates from competitors: CMU combines strong strengths in STEM with arts and design, interdisciplinary programs, and active collaboration with industry partners, all supported by a culture that emphasizes hands-on problem solving and real-world impact. What the goal is: To train capable graduates who can solve real problems, drive innovation, and contribute to technology, the arts, and society in meaningful ways.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

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Simplify's Take

What believers are saying

  • NFL partnership boosts CMU AI visibility during 2026 Pittsburgh Draft events.
  • Robotics Innovation Center hosts AI Strike Team and Steelers Draft showcase.
  • CMU analytics enhance NFL player evaluation, injury prevention, and team strategies.

What critics are saying

  • Demographic cliff slashes undergraduate enrollment 70–90% within 12–24 months.
  • Title IX antisemitism lawsuits trigger federal funding cuts in 6–12 months.
  • OpenAI poaches faculty like Salakhutdinov, weakening research in 12–18 months.

What makes Carnegie Mellon University unique

  • CMU partners with NFL to integrate researcher analysis into IQ's AI Draft chat tool.
  • Tepper School intersects business, technology, and creativity for AI world preparation.
  • CMU operates Silicon Valley and Qatar campuses offering Business and Computer Science.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Holidays

Professional Development Budget

Wellness Program

Commuter Benefits

Childcare Support

Growth & Insights

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%