AI Research Scientist

7Seventy; Northern (KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

7Seventy is seeking an Artificial Intelligence Researcher focused on applied AI, advanced machine learning, simulation, and research-driven product development. You will identify, develop, test, and integrate novel algorithms and AI models into prototypes and broader technology systems.

The role involves working with diverse data streams, collaboration with engineering and product teams, and contributing to invention disclosures and patent materials. A security clearance is required.

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 GitHub, 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.

Responsibilities

• 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.

Skills

Artificial Intelligence

Machine Learning

Python

C++

Java

GitHub

CI/CD

Team collaboration

Software development

Education

Master’s degree in a related field

PhD in a related field

Tools

Python

R

C++

Java

Job description

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 GitHub, 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, transformer architectures, attention mechanisms, and optimization methods.
• Experience extending or fine-tuning transformer-based models.
• Experience building reusable internal tools, such as connectors, simulation frameworks, and evaluation harnesses.
• Experience refining simulation-based datasets for AI agent training, research, analytics, and model development.
• Hands-on experience supporting the development and deployment of supervised or unsupervised learning models.
• One or more peer-reviewed articles, conference papers, or presentations in a science or engineering discipline.
• Experience using APIs, microservices, and workflows that connect physics simulation engines with AI training pipelines.
• Familiarity with common agentic protocols, including MCP, A2A, or similar protocols.
• Practical experience with physics-based simulation and statistical methods, including Monte Carlo methods, probabilistic modeling, and Bayesian methods.
• Working knowledge of parallel computing, GPU acceleration, and performance optimization for simulation and model training workloads.
• Experience with space systems or astrodynamics is valuable but not required.

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