Slingshot Aerospace is looking to accelerate space sustainability and create a safer, more connected world by developing and deploying AI and ML analytics that contribute to its mission goals.
Requirements
- AI/ML expertise
- Demonstrable experience in the application of AI/ML methodologies to science and/or engineering disciplines, covering classical statistics-based methods, unsupervised learning, timeseries analysis, deep learning, etc.
- Hands-on experience developing and deploying supervised and/or unsupervised learning models
- 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
- Create and deploy algorithms that integrate with and further the capability of Slingshot products that provide insight into the space operating picture.
- Lead research and implementation efforts for internal capabilities and contracts that pull useful insights from diverse data streams.
- Collaborate with other Slingshot teams through the development and provision of useful insights for research, orbital analysis, and other AI systems.
- Publish and present algorithms and research at approved conferences and journals.
- Take ownership of projects through the full pipeline, including information gathering from customers, dataset management, algorithm development, and logging and deployment.
Other
- Must be a U.S. citizen willing to obtain and maintain government clearances
- Excellent verbal and written technical communication skills
- Passion for Space and AI/ML applications
- Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners
- 6+ years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-related domains
