Staff Applied AI Engineer

📍 Westminster, United States·🏢 Remote

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Responsibilities

Develop models to attribute revenue to individual collection plans
Build counterfactual and simulation frameworks to evaluate alternative strategies
Design decision-support systems used daily by mission planners
Map system complexity and identify efficiency improvements
Rapidly prototype solutions using AI-assisted development tools
Collaborate across engineering, data, and product teams
Engineer AI-driven capabilities that enable MPS to act as an autonomous or semi-autonomous operator, balancing automation with human-in-the-loop control
Design and build systems aligned to zero trust and DevSecOps principles, ensuring security is foundational—not an afterthought
Build and deploy cloud-native solutions that enable remote mission operations and dramatically reduce planning cycle times What Success Looks Like (12–18 Months)

Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently.
We are seeking a hands-on Staff-level Applied AI Engineer to build the next generation of decision intelligence within our mission planning systems.
This is not a generic AI role.
With AI built in, MPS will function as a digital operator capable of scheduling tasks on specific sensors and autonomously managing and optimizing constellations, while keeping human operators in the loop with auditable controls.
Strong Python or similar programming skills
Experience with optimization, simulation, or decision systems
Ability to work in complex problem spaces
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Operations Research, Engineering, or a related field Preferred
Experience with operations research or reinforcement learning
Background in decision science or economics
Experience with simulation environments
Familiarity with geospatial or satellite systems