Artificial Intelligence Jobs in Thousand Oaks, CA

Reposted 21 Days AgoSaved
Hybrid
8 Locations
140K-154K Annually
Mid level
140K-154K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.
Top Skills: Ai/Ml Services (AwsAzure)GCPLangchainLanggraphPandasPythonPyTorchScikit-LearnTensorFlow
Reposted 21 Days AgoSaved
Hybrid
6 Locations
155K-168K Annually
Senior level
155K-168K Annually
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.
Top Skills: AWSAzureCloudFormationDatabricksDjangoDockerFast ApiJavaScriptKubernetesNext JsPythonReact JsTailwind CssTerraform
Reposted 21 Days AgoSaved
Hybrid
5 Locations
125K-138K Annually
Senior level
125K-138K Annually
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.
Top Skills: AWSAzureCi/CdDevOpsGCPJavaPythonScalaSpark
Reposted 23 Days AgoSaved
Hybrid
8 Locations
215K-228K Annually
Senior level
215K-228K Annually
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.
Top Skills: AIApplication Portfolio AssessmentArchitectureCloud StrategyGenaiLlmWorkflow Automation
3 Days AgoSaved
In-Office
9 Locations
37-73 Hourly
Internship
37-73 Hourly
Internship
Artificial Intelligence • Automotive • Semiconductor
Ph.D. interns apply machine learning and AI to semiconductor chip design or enterprise engineering tools. Responsibilities include developing ML models for EDA automation, placement, timing, power, and verification, or deploying LLM, RAG, and agentic systems. Interns will train, evaluate, and deploy models, conduct rigorous experiments, collaborate with engineering and technology stakeholders, assess production performance and safety, and present findings to leadership. The role requires doctoral research in AI, machine learning, computer science, electrical engineering, data science, or a related field.
Top Skills: A2AAutogenCadenceClaudeCrewaiDiffusion ModelsEdaFinfetGate-All-AroundGenerative AiGitGraph Neural NetworksHugging FaceLangchainLanggraphLarge Language ModelsLlamaindexMcpN8NPythonPyTorchRagReinforcement LearningSynopsysTensorFlowTransformers
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