Slingshot Aerospace is looking to leverage AI to accelerate space sustainability and create a safer, more connected world by pioneering novel algorithms and integrating advancements into their technology platform.
Requirements
- AI/ML expertise
- Demonstrable experience in the application of sophisticated AI/ML methodologies to science and/or engineering disciplines, including deep learning, generative models (e.g. LLMs, diffusion models), agentic systems, reinforcement learning, computer vision, or other emerging areas of AI research
- Hands-on experience developing and deploying supervised and/or unsupervised learning models
- Software development experience
- Familiarity with object-oriented or functional programming principles
- Expertise in at least one high-level programming language (e.g. Python, R, C++, Java)
- Collaborative source code management and maintenance processes (e.g. Github, code reviews, CI/CD)
Responsibilities
- Research and design AI systems, models, and advanced machine learning algorithms to augment physics-driven modeling and simulation systems and enable intelligent AI agents to reason, plan, and adapt based on simulated and real-world sensor data
- Lead innovation in AI-driven simulation tooling, identifying opportunities to enhance workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
- Collaborate with research, engineering, and product teams to build AI-driven solutions that meet mission-critical modeling and decision-support needs
- Publish, and present research outcomes at approved conferences and peer-reviewed journals 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 data science and product development initiatives
Other
- 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
- Must be a U.S. citizen eligible for government clearances
- 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
