Principal Research Engineer
Redmond, WA, US
USD 139K-304K Senior-level Full Time Found 11d ago
Tasks
- Architect AI systems
- Build evaluation frameworks
- Champion ethical AI
- Communicate technical results
- Create policies and auditing frameworks
- Define and execute AI strategy
- Design ML pipelines
- Design experiments
- Drive research and innovation
- Establish MLOps governance Responsible AI practices
- Foster cross-team collaboration
- Integrate LLMs multimodal models multi-agent architectures
- Lead AI initiatives
- Mentor engineers and researchers
- Operationalize continuous learning
- Optimize models
- Publish whitepapers patents
- Translate research into production
Perks/Benefits
Skills/Tech-stack
AI research | Agent systems | Aggregation | Azure Machine Learning | Azure OpenAI | Benchmarking | C# | C++ | Data Analysis | Deep learning | Distributed Training | Experimentation | GPU Optimization | Java | JavaScript | LLMs | ML Architecture | MLOps | Machine Learning | Model Deployment | Model Tuning | Multi-Agent | Multi-Agent Systems | Multimodal Models | PyTorch | Python | Recommender Systems | Responsible AI | Semantic Kernel | Telemetry | TensorFlow
Language: en |
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