Research Scientist Jobs in Pittsburgh, PA
Research Scientist jobs in Pittsburgh are in strong demand, concentrated in Oakland, Shadyside, and the Strip District across life sciences, advanced materials, robotics, and AI research. Employers hiring right now include Carnegie Mellon University, University of Pittsburgh, and Bosch. Find a role that fits below and apply directly.
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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.
Overview : As a Senior Machine Learning Research Scientist , you will specialize in conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.
The Secure AI 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 Secure AI 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 Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:
Counter AI Research : Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.
AI and ML Algorithm Defense Research: Creat e practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques .
Applied Adversarial Machine Learning : Advance the state of the art in a dversarial m achine l earning by developing and transitioning capabilities to government sponsors.
Your day-to-day research tasks will include:
Identifying and i nvestigating emerging AI and AI-adjacent technologies.
Performing and p ublishing impactful original research in the field of AI and ML algorithm vulnerabilities and securing against those vulnerabilities.
Adapting and a pplying existing research in the field to solve real-world problems.
Transitioning and p roviding guidance on AI capabilities to government sponsors.
Duties:
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.
Knowledge and Experience
Comprehensive knowledge of machine learning ; previous experience in adversarial machine learning preferred but not required
A track record of conducting research and applying scientific methods to solve difficult problems
Experience l ead ing 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 ; a bility to convey complex technical ideas in a layperson’s terms
Proficien cy in w rit ing funding proposals or pitch ing 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
Willing ness to guide and mentor junior team members
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.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!
For a comprehensive overview of the benefits available, explore our Benefits page .
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Arlington, VA, Pittsburgh, PAJob Function
Software/Applications Development/EngineeringPosition Type
Staff – RegularFull Time/Part time
Full timePay Basis
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Top Industries Hiring
- Automotive
- Technology & Software
Research Scientist Jobs in Pittsburgh: Frequently Asked Questions
How do I get a research scientist job in Pittsburgh?
Pittsburgh's research hiring is driven by its dense cluster of universities, medical centers, and deep-tech companies, so the strongest candidates connect their work directly to those ecosystems. Roles concentrate in Oakland's medical and academic corridor, the Strip District's tech offices, and Shadyside's biotech firms. A publication record, hands-on lab or computational experience, and familiarity with Carnegie Mellon or Pitt research priorities all give applicants a clear edge locally.
Which companies hire research scientists in Pittsburgh?
Companies currently hiring research scientists in Pittsburgh include Carnegie Mellon University, University of Pittsburgh, and Bosch, per current listings on Migrate Mate as of July 2026. Pittsburgh's hiring pool is unusually broad, drawing from hospital networks and pharmaceutical contractors in Oakland as well as robotics and AI labs anchored near Carnegie Mellon's campus.
Are there remote research scientist jobs in Pittsburgh?
Yes, though availability depends heavily on the discipline: computational, data-driven, and bioinformatics roles are far more remote-friendly than wet-lab or instrumentation-heavy positions. About 0% of research scientist openings tied to Pittsburgh are remote or hybrid as of July 2026, skewing toward roles in machine learning research and health data analytics. Fully on-site work remains the norm for materials science and clinical research roles in Pittsburgh.
How can I get a research scientist job in Pittsburgh with little or no experience?
The most realistic entry path in Pittsburgh is a research associate or junior scientist role at one of the city's hospital systems or university-affiliated research institutes, where training pipelines are well established. Carnegie Mellon and Pitt both run postdoctoral and research staff programs that serve as stepping stones into industry. Contract research positions at CROs and biotech startups in Oakland often hire candidates with a relevant master's degree and strong internship experience, even without a doctorate.
Which industries hire the most research scientists in Pittsburgh?
The sectors hiring the most research scientists in Pittsburgh are Automotive and Technology & Software, based on current listings on Migrate Mate as of July 2026. Pittsburgh's legacy in steel and manufacturing has evolved into advanced materials and robotics research, while its major hospital networks and life sciences firms make healthcare one of the city's most consistent sources of research scientist demand.
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