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AI Research Scientist

Job in Northern, Floyd County, Kentucky, USA
Listing for: 7Seventy
Full Time position
Listed on 2026-10-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: Northern

This opportunity is for an Artificial Intelligence Researcher focused on applied AI, advanced machine learning, simulation, and research-driven product development. The role involves identifying, developing, testing, and integrating novel algorithms and AI models into prototypes and broader technology systems.

This position supports the development of AI-powered solutions that combine diverse data streams, advanced intelligence engines, physics-driven modeling, simulation workflows, and modern machine learning methods. The work includes hands-on research and development, technical collaboration with engineering and product teams, scientific communication, and support for invention disclosures and patent-related materials.

Employment Type: Full-time

Salary Range: $120,000 - $170,000 per year

What You’ll Do
  • Conduct research and development of AI systems, machine learning models, and advanced algorithms that support and enhance physics-driven modeling and simulation systems.
  • Explore and implement AI-powered simulation tools that support AI workflows, including reinforcement learning, multi-agent systems, and hybrid modeling approaches.
  • Collaborate with research, engineering, and product teams to build AI-powered solutions for mission-critical modeling, analytics, and decision-support needs.
  • Support the drafting and review of conference papers, journal articles, and technical presentations for internal stakeholders and the broader research community.
  • Contribute technical content for invention disclosures, including written narratives, supporting graphics, and related materials for patent development.
  • Help integrate novel algorithms, models, and AI technologies into prototypes and larger AI systems.
  • Work with diverse data streams and advanced intelligence engines to support applied AI research and product development.
  • Perform additional technology and product development responsibilities as needed, limited to no more than 10% of the role.
Qualifications
  • Active U.S. Security Clearance is required, with Secret clearance as the minimum and Top Secret clearance preferred.
  • Master’s degree in a related field with at least 2 years of experience in a similar role, or a PhD with relevant research projects.
  • Strong expertise in artificial intelligence and machine learning.
  • Demonstrated experience applying AI/ML methods such as deep learning, generative models, large language models, diffusion models, agentic systems, reinforcement learning, computer vision, or other emerging areas of AI research.
  • Software development experience in research, applied AI, engineering, or technical product environments.
  • Familiarity with object-oriented programming paradigms and functional programming principles.
  • Expertise in at least one modern high-level programming language, such as Python, R, C++, or Java.
  • Experience with collaborative source code management and software maintenance processes, including Git Hub, code reviews, and CI/CD workflows.
  • Ability to work effectively with multidisciplinary teams in a fast-paced and evolving operational environment.
  • Ability to collaborate across teams and stakeholders connected to military, government, and industry environments.
  • Excellent verbal and written communication skills.
  • Strong interest in space-related applications and AI/ML technologies.
Preferred Qualifications
  • Experience fine-tuning large language models, using prompt engineering, building retrieval-augmented generation workflows, and adapting models for scientific or engineering datasets.
  • Experience using modern machine learning frameworks and model hubs.
  • Familiarity with reinforcement learning and multi-agent reinforcement learning for training agents in simulation and real-world contexts.
  • Practical understanding of neural networks,…
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