About the Position
In this role, you will join the AI and Data Science department within Slingshot’s Research and Development (R&D) organization. You will directly impact Slingshot’s vision to accelerate space sustainability to create a safer and more connected world. In your new role you will be responsible for building and maintaining a comprehensive software ecosystem that enables cutting-edge AI research and production deployment. This includes developing robust experimentation frameworks and MLOps pipelines for both reinforcement learning and large language model workflows, maintaining scalable simulation environments for physics informed training, and implementing production-ready infrastructure. The team ensures high software engineering standards through automated testing and CI/CD practices, while providing research teams with standardized tools, reusable components, and documentation that accelerate innovation cycles.
Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose. The core competencies we will be looking to identify include intellectual agility, ability to develop innovative solutions, leadership, performance orientation, and industry expertise.
What You’ll Do
- Build and maintain standardized experimentation frameworks, data pipelines, and reusable components that accelerate AI research cycles while ensuring reproducibility and comprehensive evaluation across RL and LLM domains
- Design and operate robust MLOps infrastructure with CI/CD pipelines, monitoring systems, and security controls that enable reliable deployment of AI applications at scale
- Develop and maintain scalable simulation environments and integration interfaces the seamlessly connect with AI training and inference pipelines to support diverse scenarios and specialized use cases
- Uphold software engineering excellence through comprehensive testing, code quality standards, documentation, and knowledge sharing
- Collaborate with research and product teams to help identify areas for systemic improvements in the R&D pipeline
Requirements
- 4+ years Software Engineering, ML Operations, FM Ops, data science deployment, or relevant experience
- Demonstrated experience designing and implementing databases, data systems, feature stores, and modeling pipelines in a data science team environment.
- Familiarity with software development lifecycle and CI/CD processes
- Proficiency in Object Oriented Programming
- Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners
- Passion for Space and AI/ML applications
- Excellent verbal and written communication skills
- BS degree in relevant science or engineering disciplines.
- Must be a U.S. citizen eligible for government clearances
Preferred Qualifications
- Familiarity with RL (RLLib, Stable Baselines, etc...) and/or LLM (Llama-Index, LangGraph, etc...) Frameworks
- Familiarity with common agentic protocols (MCP, A2A, etc...)
- Experience in the development of physics-based simulation
- Experience with distributed computing frameworks such as Ray, Spark, or Dask
- Ability to identify creative data and feature solutions for challenging projects.
- Ability to develop and deploy a host of data and data science services in the AWS cloud using Terraform or similar.
- Experience with space / astrodynamics data sets
- Experience developing, implementing, and transitioning sophisticated technology to production.
These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed - if your skills are transferable and you meet the minimum requirements, we encourage you to apply.
Location: Remote, US
Classification: Full-time Exempt (computer professional exemption)
Compensation: $150,000 - $200,000
US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. 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.
Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.
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What We Do
Slingshot Aerospace builds world-class space simulation and analytics solutions. We are driven by our vision of accelerating space sustainability to create a safer, more connected world.
Space is increasingly complex due to the exponential growth of global launch activity, the proliferation of new data sources, and the ever-growing body of new satellites and debris. Organizations are making mission-critical decisions in this high-risk environment and they need the right information at the right time. Slingshot Aerospace empowers government and commercial space organizations to better design, manage, and safeguard their assets, as well as mitigate risks, to ensure safe and reliable operations for all space-faring users.
We are achieving this by bringing the space domain into the digital environment and fusing together data from different sources to provide a full, dynamic orbital picture. In doing so, Slingshot Aerospace customers can make decisions at the speed of relevance and achieve clarity in complex environments.
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