Job Description

About Air Space Intelligence

ASI enables success for the world's most complex operations. From critical infrastructure to defense, we serve major airlines and U.S. and allied government organizations, providing our partners with a decision advantage from planning to operations. Backed by toptier investorsincluding Andreessen Horowitz, Spark Capital, and Renegade Partnerswe are boldly investing in R&D and growth to push the boundaries of whats possible.

What you will do:

As part of our core engineering team, you will design and deploy productiongrade systems that integrate machine learning models into scalable software pipelines. Youll develop and ship features that leverage ML to solve realworld optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. Youll approach problems with a software engineers mindsetprioritizing robustness, maintainability, and performance at scale.

What we value:

• Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikitlearn).
• Strong understanding of data structures, algorithms, and software engineering best practices.
• Familiarity with classical ML, deep learning, and MLOps concepts.
• Experience building and maintaining scalable, reliable systems that include ML components.
• A bias for simplicity and clarity in solving complex problems.
• Intellectual curiosity and willingness to collaborate.
• Clear communication and collaboration across crossfunctional teams.

How do we hire:

We look at the interview process not as a screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.

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