Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is a full time onsite position in Herndon, VA or Westminster, CO; hybrid/remote work is not supported. Candidates must be willing to work onsite 80% or as needs dictate.
The role requires 8+ years of experience in data science, AI/ML, LLMs, proficiency in Python, R, and/or Java, hands-on experience with TensorFlow, PyTorch, scikit-learn, and tools like Jupyter, MLflow, AWS SageMaker. Experience in Linux-based environments and hybrid infrastructures (on-prem and cloud) is also needed.
An active TS/SCI clearance with polygraph and US citizenship is required.
You'll be part of a small, multi-disciplinary team in an agile environment, collaborating directly with end users, analysts, engineers, and mission partners on national security challenges.
Candidates need 8+ years of AI/ML experience, proficiency in key programming languages and frameworks, active TS/SCI with polygraph, a relevant degree, and strong collaboration and independent working skills.
Earth intelligence and space infrastructure solutions
Maxar Technologies specializes in Earth intelligence and space infrastructure, providing essential solutions for both government and commercial clients. The company offers services that help clients monitor and understand changes on our planet, including global broadband communications and advanced capabilities for space exploration. Maxar utilizes its extensive experience and commercial technology to deliver solutions that are fast, scalable, and cost-effective. Unlike many competitors, Maxar focuses on delivering precise and reliable data that supports informed decision-making and strategic planning. The company's goal is to generate value through contracts and partnerships, ensuring clients have the information they need to navigate complex global challenges.