Top AI & Machine Learning Jobs

24 Days AgoSaved
In-Office
Washington, DC, USA
242K-305K Annually
Senior level
242K-305K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Leads architecture and implementation of enterprise AI and data platforms supporting vector search, RAG, LLM, and Agentic AI applications. Establishes data governance, lineage, traceability, monitoring, and evaluation controls; drives technical decisions around scalability, security, reliability, and cost. Partners with engineering, data science, cybersecurity, and mission teams, communicates technical tradeoffs to executives, evaluates emerging technologies, and mentors engineers. The role requires active TS/SCI with CI polygraph clearance and extensive cloud, data engineering, MLOps, and AI platform experience.
Top Skills: Agentic AiAWSAzureCi/CdCloud-Native ArchitecturesDistributed SystemsEmbedding PipelinesGCPInfrastructure AutomationLarge Language Models (Llms)MlopsObservability ToolingOrchestration PlatformsPythonRetrieval-Augmented Generation (Rag)Semantic SearchSQLVector Databases
90K-90K Annually
Internship
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
AI software engineering intern in Boeing’s Graduate Researcher Program, developing and evaluating learned models and contributing to machine learning applications for aerospace. The role involves preparing data, supporting machine learning development and deployment pipelines, and collaborating with distributed engineering teams. Candidates must be PhD students who have completed their first year by July 2027 and can work onsite full-time for 10–12 weeks during Summer 2027.
Top Skills: AdoAirflowCC++GephiGitJavaJIRAMachine LearningMatlabPythonSQLTableauTeradata
One Month AgoSaved
In-Office
El Segundo, CA, USA
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Leads data engineers, data scientists, analytics/ML engineers, and BI analysts while owning enterprise data platform architecture and modernization. Establishes DevSecOps practices, governance, compliance, automated testing, CI/CD, infrastructure as code, and operational documentation. Translates business needs into scalable real-time and batch solutions, oversees technical roadmaps involving Synapse and Purview, manages suppliers, and develops team members. The role is onsite in El Segundo, California, and requires U.S. citizenship with the ability to obtain a Secret clearance.
Top Skills: Azure SynapseBusiness Intelligence (Bi)Ci/CdDatabricksDevsecopsInfrastructure As Code (Iac)Machine LearningMicrosoft Purview
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