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Generative Ai Phd Jobs in Virginia (NOW HIRING)

Lead Generative AI Engineer

Mclean, VA · On-site

$105K - $138K/yr

The Generative and Agentic AI Engineering Department works across the full range of US Government ... or a PhD with 3 years' experience; or equivalent combination of related education and work ...

New

Data Scientist - NLP / Generative AI

Arlington, VA · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Jobs / Data Scientist - NLP / Generative AI Data Scientist - NLP / Generative AI Full-time About ... Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a ...

Data Scientist - NLP / Generative AI

Alexandria, VA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Scientist - NLP / Generative AI Location: Hybrid - Arlington, Virginia Employment Type ... Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a ...

New

... generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and ... PhD + 2 years of experience. • Expert/ Master: High School Diploma + 12 years of experience ...

... PhD-level research environments. • Ability to rapidly learn and apply new AI/ML methodologies ... generative AI, reinforcement learning, computer vision, or related disciplines. • Experience ...

Key Responsibilities Design and build supervised, unsupervised, and generative AI models (including ... Master's or PhD strongly preferred. Additional relevant experience may be substituted for degree ...

Key Responsibilities • Design and build supervised, unsupervised, and generative AI models ... Master's or PhD strongly preferred. Additional relevant experience may be substituted for degree ...

... PhD-level research environments. * Ability to rapidly learn and apply new AI/ML methodologies ... generative AI, reinforcement learning, computer vision, or related disciplines. * Experience ...

... PhD-level research environments. • Ability to rapidly learn and apply new AI/ML methodologies ... generative AI, reinforcement learning, computer vision, or related disciplines. • Experience ...

... PhD-level research environments. • Ability to rapidly learn and apply new AI/ML methodologies ... generative AI, reinforcement learning, computer vision, or related disciplines. • Experience ...

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Showing results 1-20

Generative Ai Phd information

What are the key skills and qualifications needed to thrive as a generative AI PhD?

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

What is a generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

What is the difference between Generative Ai Phd vs Machine Learning Engineer?

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

What cities in Virginia are hiring for Generative Ai Phd jobs?

Cities in Virginia with the most Generative Ai Phd job openings:

Infographic showing various Generative Ai Phd job openings in Virginia as of August 2026, with employment types broken down into 44% Full Time, 29% Part Time, and 27% Contract. Highlights an 46% In-person, and 54% Remote job distribution.

Lead Generative AI Engineer

The MITRE Corporation

Mclean, VA • On-site

$105K - $138K/yr

Other

Posted 3 days ago

New


MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

158th of 449 rated engineering


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
The Generative and Agentic AI Engineering Department works across the full range of US Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex mission needs for our sponsors. Our department applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges while researching, prototyping, and transitioning innovative technologies to support critical mission objectives for our sponsors. Our work spans generative AI applications, agentic AI system design, AI model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, MLOps/LLMOps, and human language technology (HLT). The department maintains deep expertise in large language models, agentic AI, autonomous AI workflows and data processing pipelines, computational linguistics, knowledge graph construction, identity resolution and AI/GenAI evaluation.
Roles & Responsibilities:
The position involves researching, developing, evaluating, and integrating generative AI and agentic AI capabilities. Specific responsibilities will include:
  • Work in and provide technical leadership to cross-functional teams to develop and implement AI solutions, including prototype implementation of capabilities that leverage generative AI, large language model technology and agentic AI capabilities
  • Analyze data and language processing needs and recommend innovative solutions that solve mission-critical problems
  • Prototype AI/GenAI systems or components based on analysis of workflow and operational mission needs and deliver prototype solutions into operational spaces/systems using real mission-relevant data
  • Evaluate technology solutions in the context of mission data and workflow needs, and provide actionable recommendations towards workable solutions for critical problems
  • Convey complex ideas to non-technical audiences through briefings and/or white papers
  • Lead large projects and/or small technical teams to solve complex AI/GenAI problems for our sponsors
  • Leverage MITRE's Federal AI Sandbox (NVIDIA DGX SuperPod hardware) and AI Platform to support research, development and evaluation of generative AI capabilities

Basic Qualifications:
  • Requires a minimum of 8 years of related experience with a Bachelor's degree in computer science, engineering, computational linguistics, or related disciplines; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of related education and work experience.
  • 8+ years of impactful work experience in AI/GenAI
  • Demonstrated recent experience with large language model (LLM) technology applications in R&D or operational settings
  • Demonstrated experience in prototyping/developing AI components/systems that align with department capabilities (as described above)
  • Ability to apply state-of-the-art machine learning techniques to data and natural language processing challenges
  • Experience with programming languages such as Java or Python
  • Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems
  • Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences
  • Ability and willingness to obtain and maintain a DOD Secret clearance within 12 months from the date of hire
  • This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:
  • Advanced degree in computer science, engineering, computational linguistics, or related disciplines
  • Track-record of successful deployment of agentic, generative, and HLT systems or components that have been used by customers or stakeholders outside of a lab/experimental setting
  • Experience leading mid-sized or large teams to solve complex practical technical challenges
  • Active DOD security clearance

This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Salary compensation range and midpoint:
$174,000 - $217,500 - $261,000 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here.
Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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About MITRE

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Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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