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Principal Applied ML Researcher (Agentic Systems & Applied AI Platform)

Seattle, WA or McLean, VA or Remote R

USD 230K-300K Senior-level Full Time

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Found 14h ago
Tasks
Perks/Benefits
Skills/Tech-stack

APIs | Agent Orchestration | Agentic Systems | Air-gapped | Air-gapped environments | Benchmarks | C++ | Cloud Platforms | Compliance | Containerization | Cost Optimization | Data Privacy | Deep learning | Failure handling | Generative AI | Graph Learning | Human-in-the-loop | Java | Language Models | Language Processing | Large Language Models | Latency optimization | Learning Metrics | Machine Learning | Machine learning metrics | Memory Management | Model Evaluation | Model Serving | Monitoring | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | On-premise | On-premise deployment | Prompt engineering | Python | RLHF | Regression testing | Responsible AI | Retrieval-Augmented Generation | Synthetic data | Testing Frameworks | The Loop | Tool use

Education

N/A

Roles

Applied Machine Learning Researcher | Engineer | Learning Engineer | Machine Learning Engineer | Machine Learning Researcher | Principal | Principal Applied Machine Learning Researcher | Principal Machine Learning Engineer | Researcher

Regions

North America

Countries

United States

States

Washington, US | Virginia, US

Cities

Seattle, Washington, US | McLean, Virginia, US

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