Principal Applied ML Researcher (Agentic Systems & Applied AI Platform)
USD 230K-300K Senior-level Full Time
Tasks
- Build auditable explainable compliant systems
- Build multi-agent orchestration
- Create end to end testing frameworks
- Define ML and LLM strategy
- Define evaluation metrics and benchmarks
- Deploy in cloud and containerized environments
- Design LLM agent workflows
- Design ML training fine tuning and deployment pipelines
- Design human in the loop safety controls
- Develop and validate agentic prototypes
- Ensure reliability predictability and safety in production
- Establish best practices for ML system design and evaluation
- Handle ML system failures robustly
- Implement memory management
- Implement tool use with APIs
- Mentor engineers and researchers
- Monitor and run regression testing
- Optimize model serving routing and orchestration
- Own research to production lifecycle
- Write technical reports and design documents
Perks/Benefits
- 401k option
- Comprehensive health care
- Equity Incentives Option
- FSA option
- Mental health benefits
- Paid Maternity Leave
- Paid paternity leave
- Professional development
- Unlimited PTO
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
Regions
Countries
States
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