Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence
Seattle, Washington, United States
USD 150K-260K (estimate) Senior-level Full Time
Found 4h ago
Tasks
- Architect risk detection systems
- Build modular skill systems
- Define engineering standards
- Design agent workflows
- Design orchestration layers
- Develop memory architectures
- Ensure system robustness
- Establish traceability mechanisms
- Implement reasoning frameworks
- Mentor engineers
- Provide technical leadership
- Translate feedback signals
Perks/Benefits
- N/A
Skills/Tech-stack
AI architecture | Agent systems | Data Analysis | Deep learning | Machine Learning | Memory Architectures | Multi-Agent | Multi-Agent Systems | PyTorch | Python | React | Risk detection | Robotics | Scalability | System design | TensorFlow
Education
Language: en |
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