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About the Position
In this role, you will join the Space Data Insights team within Slingshot’s AI and Data Science department. You will contribute directly to Slingshot’s vision to accelerate space sustainability and create a safer, more connected world. You will develop and deploy AI and ML analytics that contribute to Slingshot’s mission goals by leveraging diverse data streams and smart approaches to increase transparency into the space environment.
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
- 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.
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
- 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 technical communication skills
- Passion for Space and AI/ML applications
- Must be a U.S. citizen willing to obtain and maintain government clearances
Preferred Qualifications
- Strong experience with time series data, anomaly detection, and unsupervised learning methods.
- Experience with data management and querying from a variety of database schemas (SQL and No SQL).
- Demonstrated experience developing technical visualizations and analyses
- Experience handling code pipelines end to end, including software engineering, unit testing, documentation, model creation, and deployment and monitoring.
- Experience with cloud processing and environments and big data management and multiprocessing.
- Experience leading projects, working with clients to define requirements lists, and building datasets and tasks to deliver final projects.
- Peer-reviewed publications and/or presentations in a scientific discipline, AI/ML focus preferred.
- 6+years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-related domains.
- Experience with space and astrodynamics is valuable but not required .
- Qualified for or in possession of an active Top Secret or Top Secret / Secure Compartmented Information clearance level.
- Demonstrated experience leading the development, implementation, and transition of technology to production is desirable.
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)
Salary: $147,000 - $245,000
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.
Slingshot Aerospace Austin, Texas, USA Office
701 Brazos St, Austin, TX, United States, 78701
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
