AI Research Scientist, Applied AI

Slingshot Aerospace

AI Research Scientist at Slingshot Aerospace enhancing space sustainability through AI and advanced algorithms. Collaborating on projects and publications in a dynamic team environment focused on innovation.

Posted 6/11/2026full-timeRemote • Alabama, Arizona, California, Colorado, District of Columbia, Florida, Hawaii, Illinois, Kansas, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin • 🇺🇸 United StatesJuniorMid-Level💰 $120,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

JavaPython

About the role

Key responsibilities & impact

Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

Requirements

What you’ll need

Must have an Active US Security Clearance (Secret Minimum, Top Secret Preferred)
Masters in related field + Minimum of 2 years' experience in similar role (or PhD with relevant research projects)
AI/ML expertise
Demonstrable experience in the application of AI/ML methodologies including, but not limited to, deep learning, generative models (e.g. LLMs, diffusion models), agentic systems, reinforcement learning, computer vision, or other emerging areas of AI research
Software development experience
Familiarity with object-oriented paradigms and functional programming principles
Expertise in at least one modern high-level programming language (e.g. Python, R, C++, Java)
Collaborative source code management and maintenance processes (e.g. Github, code reviews, CI/CD)
Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners
Excellent verbal and written communication skills
Passion for Space and AI/ML applications.

Benefits

Comp & perks

Equity
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Hard Skills & Tools

AI systemsmachine learning algorithmsreinforcement learningmulti-agent systemshybrid modelingdeep learninggenerative modelscomputer visionPythonR

Soft Skills

collaborationcommunicationteamworkadaptabilityproblem-solving

Certifications

Active US Security Clearance