Slingshot Aerospace · 4 months ago
Senior AI Research Scientist
United States
Full-time
Remote
Senior Level
6+ years expSlingshot Aerospace is focused on accelerating space sustainability and creating a safer, more connected world. They are seeking a Senior AI Research Scientist to research and design AI systems and advanced machine learning algorithms, collaborate with teams to build AI-driven solutions, and contribute to technical invention disclosures.
AerospaceAnalyticsSimulationSoftware
No H1B
U.S. Citizen Only
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
Qualification
Required
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)
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
Preferred
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
Strong 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
Peer-reviewed publications and/or presentations in a scientific discipline, AI/ML focus preferred
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 simulations, Monte Carlo methods, probabilistic modeling, and Bayesian methods
6+ years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-related domains
Knowledge of parallelization, GPU acceleration, and performance optimization for simulations and training workloads
Experience with space and astrodynamics is valuable but not required
Demonstrated experience leading the development, implementation, and transition of technology to production is desirable
Company
Slingshot Aerospace
Slingshot Aerospace builds space data, analytics, and simulation solutions.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$148.94MKey Investors
Trinity CapitalSway VenturesHorizon Technology Finance
2025-09-30Series Unknown
2024-09-12Debt Financing· $30M
2023-06-23Debt Financing· $8.42M
Leadership Team
Tim Solms
CEO & Board Director
Scott Humphrys
Chief Operating Officer
Recent News
Satellite Today
2026-01-17
Washington Technology
2026-01-17
Washington Technology
2026-01-16
Company data provided by crunchbase