Slingshot Aerospace - AI Research Scientist, Applied AI

• 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 • Experience with fine-tuning LLMs, prompt engineering, retrieval-augmented generation (RAG), and domain adaptation for scientific/engineering datasets using modern ML frameworks and model hubs • Familiarity with Reinforcement Learning (RL) and multi-agent reinforcement learning to enable training agents that learn strategies in simulation and real-world contexts • Practical understanding of neural networks, transformer architectures, attention mechanisms, and optimization methods to extend or fine-tune transformer-based models • Experience building reusable internal tools (connectors, simulation frameworks, evaluation harnesses) to refine simulation-based datasets for AI agent training in support of research, data-driven insights/analytics, and model development • Hands-on experience supporting the development and deployment of supervised and/or unsupervised learning models • One or more peer reviewed articles, conference papers, and/or presentations in a science or engineering discipline • Demonstrable combined experience indicative of skillsets required to utilize APIs, microservices, and workflows that merge physics simulation engines with AI training pipelines • Familiarity with common agentic protocols (MCP, A2A, etc...) • Practical working experience with physics-based simulation, and statistical methods (e.g. monte Carlo methods, probabilistic modeling, and Bayesian methods) • Working knowledge of parallel computing, GPU acceleration, and performance optimization for simulations and training workloads. • Experience with space and astrodynamics is valuable but not required • We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. • Location: Remote, US • Salary Range: $120,000 - $170,000 + Equity and Benefits • Classification: Full-time Exempt (computer professional exemption) • US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. • Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time.