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Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)
PythonTensorFlowPyTorchScikit-learnGoRustJavaScalaDockerKubernetesGraphQLAngularReactInfrastructure as Code
About the role
Striveworks is seeking a Senior Machine Learning Engineer for agentic systems to work on customer-driven projects and products, developing ML solutions and orchestrating agentic workflows using the Chariot platform. The role involves working with customers, data scientists, and engineers to build reliable AI systems, with a focus on trust and ownership. The company values candor, respect, and collective results.
Requirements
BS in computer science, machine learning, or related discipline with 6+ years experience. Demonstrated experience in data-centric systems, LLM-powered agents, integration with external tools, evaluation frameworks, RAG, and multi-agent architectures. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong software engineering fundamentals and at least one systems language (Go, Rust, C++, Java, Scala). Active Secret US security clearance and US citizenship required.
About the company
Striveworks
Striveworks is an AI company specializing in deploying and managing AI models for enterprise-level operations, particularly in defense and government sectors. Their platform enables rapid AI model development, one-click deployment, and continuous operation even in dynamic or disconnected environments, providing trustworthy, adaptive AI-powered analysis and multi-domain awareness.
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