Full-Time

Senior Machine Learning Research Scientist

Secure AI Lab

Posted on 6/3/2026

Carnegie Mellon University

Carnegie Mellon University

11-50 employees

University-backed pre-seed fund and accelerator

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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CMU VentureBridge provides pre-seed funding and an accelerator for startups with at least one CMU-affiliated founder. It offers a 12-week summer program combining virtual and in-person activities, mentorship from experienced founders, and access to a venture network. Each accepted company receives a $25,000 grant from the university, supported by foundations, plus coworking spaces in tech hubs. The program culminates in a Demo Day to pitch to investors, and alumni have raised over $210 million in follow-on funding since 2018.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • VentureBridge '25 invested 14 startups in AI, robotics, healthtech, cleantech sectors.
  • Portfolio companies raised $210M+ in follow-on funding post-acceleration.
  • Demo Day timing aligned with a16z NY Tech Week increases investor visibility.

What critics are saying

  • Y Combinator's university tracks offer $500K vs. VentureBridge's $25K minimum investment.
  • Intuitive Foundation grant ends 2025, eliminating primary funding source for seed checks.
  • Stanford StartX and competing accelerators attract top CMU alumni with superior networks.

What makes Carnegie Mellon University unique

  • CMU affiliation requirement creates exclusive founder network with deep technical talent.
  • Hybrid model across SF, NYC, Pittsburgh provides geographic flexibility for distributed teams.
  • 85+ portfolio companies valued over $1 billion demonstrate proven track record since 2018.

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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