Design and implement scalable reinforcement learning (RL), optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning
Build high-fidelity simulation and evaluation environments for training and validating autonomous planning strategies under real-world operational constraints
Train, evaluate, and deploy ML and decision -making models in production environments using modern DevOps practices
Collaborate with aerospace engineers, mission operators, software engineers, and product teams to translate mission requirements into deployable AI systems
What Success Looks Like (12-18 Months)
Your modernized scheduling and decision-support system is actively used by planners in daily operations
Teams can evaluate alternative planning strategies with measurable outcomes based on your models
Early-stage learning systems (optimization / RL) are improving planning performance over time
Requirements
Bachelor's degree in Computer Science, Data Science , Aerospace Engineering, Applied Math em atics, Physics, or related field
5 + years of experience developing machine learning or optimization systems
Strong programming skills with experience using modern ML frameworks such as PyTorch, TensorFlow , Scikit-learn , or JAX
Experience with probabilistic modeling, uncertainty estimation, and Bayesian optimization algorithms
Experience building training & evaluation pipelines for ML systems
Experience with orbital mechanics, satellite systems, remote sensing, mission operations , and collection planning
Strong software engineering fundamentals including testing, CI/CD, version-control, and containerized deployment
Familiarity with GPU acceleration and distributed training infrastructure
Experience with autonomous systems or multi-agent planning architectures is a plus
The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $182,000.00 - $200,200.00 annually.
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) wi
Benefits
401(k)Remote work options
Additional Information
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. 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. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. 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. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen .
Please review the job details below.
We are seeking an AI/ML Engineer to develop and maintain autonomous planning, scheduling, and optimizat io n systems for advanced Earth Observation satellite operations.
This role focuses on applying reinforcement learning (RL ), operations research, a nd sequential decision-making techniques to optimize heterogenous satellite constellation collection plans .
You will be joining an onsite team located in the Herndon, VA office with core in-office days on Tuesday, Wednesday, and Thursdays. Other days may occasionally be required to support customer or mission-related activities.
Maxar · Herndon, VA