Principal Applied ML Researcher (Agentic Systems & Applied AI Platform)
Seattle, WA or McLean, VA or Remote
R
USD 230K-300K Senior-level Full Time
Tasks
- Build end to end evaluation systems
- Define ML and LLM strategy
- Deploy ML systems in regulated environments
- Design LLM agent workflows
- Design human in the loop safety controls
- Design training fine tuning evaluation and deployment pipelines
- Develop and validate agentic system prototypes
- Drive agentic systems breakthroughs
- Drive model serving routing and orchestration architecture
- Ensure auditable explainable and compliant systems
- Establish evaluation metrics and benchmarks
- Handle production failures robustly
- Implement memory management
- Implement multi-agent orchestration
- Implement prompting strategies
- Mentor engineers and researchers
- Optimize latency and cost
- Own research to production ML lifecycle
- Set monitoring and regression testing
- Write technical reports and design documents
Perks/Benefits
- 401k options
- Employer-paid health insurance
- Equity incentives
- FSA options
- Mental health benefits
- Paid maternity and paternity leave
- Professional development
- Unlimited PTO
Skills/Tech-stack
APIs | Agent Orchestration | Benchmarks | C++ | Cloud Platforms | Containerization | Cost Optimization | Deep learning | Evaluation metrics | Failure handling | Generative AI | Human-in-the-loop | Java | LLM | Language Processing | Latency optimization | Machine Learning | Memory Management | Model Serving | Monitoring | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | On-Premises | On-premises deployment | Prompt engineering | Python | Regression testing | Routing | Testing Frameworks | The Loop | Tool use
Education
N/A
Regions
Countries
States
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