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Agentic AI & Graph Machine Learning Research Engineer

Calabasas, CA

USD 128K-159K Mid-level Full Time

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Found 13h ago
Tasks
Perks/Benefits
Skills/Tech-stack

Agent communication | Agent2Agent | AgentOps | Agentic AI | Autogen | Cloud infrastructure | Cypher | Deep learning | Distributed inference | Efficient Fine Tuning | Explainable AI | Fine Tuning | GPU Acceleration | Generative AI | Geometric Deep Learning | Graph Databases | Graph Machine Learning | Graph Neural Networks | Graph Representation | Graph Representation Learning | Inference Optimization | Knowledge graphs | LLMOps | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Alignment | Model Context Protocol | Model Inference | Model Inference Optimization | Multi-Agent | Multi-agent communication | Multimodal Models | Natural Language | Natural Language Processing | Neo4j | Neural Networks | Observability | Online Learning | Ontology Engineering | Parameter efficient fine-tuning | Preference optimization | Prompt engineering | PyTorch | Python | Ray | Representation Learning | SGLang | Spark | Streaming Data | Supervised Fine Tuning | Testing | Tool integration | Uncertainty Quantification | VLLM | Verification & Validation | Version control

Education

Master of Science

Roles

Engineer | Machine Learning Research Engineer | Research Engineer

Regions

North America

Countries

United States

States

California, US

Cities

Calabasas, California, US

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