Accelerate space sustainability to create a safer, more connected world at Slingshot
Requirements
- Demonstrated proficiency in algorithm development and implementation in one or more formal programming language(s) (e.g. Julia, Python, java/kotlin, C/C++);
- Strong understanding of machine learning and deep learning;
- Conducted quantitative research with an emphasis in one or more of the following areas: (a) simulation modeling and analysis, (b) reinforcement learning, (c) agent-based modeling, prediction, and insights, or (d) stochastic data set construction;
- Published peer-reviewed journal articles employing data science simulation methods, approaches, applications, predictions, or dataset creation;
- Experience in physics, aerospace, and astrodynamics disciplines and research questions;
- Ability to demonstrate creative solutions to challenging projects;
- Development of AI algorithms for use in environmental, physical, or behavior prediction;
Responsibilities
- Develop machine learning approaches, algorithms, prototypes, and models that lend insights into key business arenas and future opportunities;
- Spearhead cutting edge AI initiatives with LLMs, agentic systems, and automated and reasoning agents;
- Envision and develop simulation environments to support agent training and learning;
- Identify and develop predictive algorithms, research, insights, and data science products;
- Author thought leading publications to advance technology for space security, safety, and sustainability;
- Collaborative work to deliver data science modeling insights as publications, papers, internal communications, and IP patents;
- Participate in a matrixed team of AI and data scientists, astrodynamics scientists, and engineers;
Other
- Must be eligible to obtain or maintain US Government Security Clearance
- Advanced degree (Ph.D. or MS plus 1 year experience) with graduate degree in mathematics, data science, physics, or other related quantitative discipline;
- Excellent verbal and written communication skills.
- Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners;
- 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.
