Senior AI Research Scientist job at Slingshot Aerospace in US National
Title: Senior AI Research Scientist
Location: Remote, United States
Work Type: Remote
Job Description:
Meet Slingshot
At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere-whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place.
What You'll Be Launching
In this role, you will join the AI and Data Science department within Slingshot's Research and Development (R&D) organization. You will contribute directly to Slingshot's vision to accelerate space sustainability and create a safer, more connected world. You will identify opportunities for AI to contribute to Slingshot's mission goals by pioneering novel algorithms that leverage diverse data streams and advanced intelligence engines and by integrating the advancements into broader AI systems across the Slingshot technology platform.
We're building a team of sharp, creative people who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doing great work. Bring your expertise, your fresh ideas, and your drive-we'll bring the rocket fuel.
Your Mission (Should you choose to accept it)
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
Pre-flight Checklist
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
Bonus Cargo
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
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: $170,000 - $210,000
Classification: Full-time Exempt (computer professional exemption)
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.
Apply tot his job
Apply To this Job
Location: Remote, United States
Work Type: Remote
Job Description:
Meet Slingshot
At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere-whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place.
What You'll Be Launching
In this role, you will join the AI and Data Science department within Slingshot's Research and Development (R&D) organization. You will contribute directly to Slingshot's vision to accelerate space sustainability and create a safer, more connected world. You will identify opportunities for AI to contribute to Slingshot's mission goals by pioneering novel algorithms that leverage diverse data streams and advanced intelligence engines and by integrating the advancements into broader AI systems across the Slingshot technology platform.
We're building a team of sharp, creative people who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doing great work. Bring your expertise, your fresh ideas, and your drive-we'll bring the rocket fuel.
Your Mission (Should you choose to accept it)
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
Pre-flight Checklist
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
Bonus Cargo
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
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: $170,000 - $210,000
Classification: Full-time Exempt (computer professional exemption)
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.
Apply tot his job
Apply To this Job