Senior Principal Applied ML Engineer
Tasks
- Build AI agent evaluation frameworks
- Design and implement AI agent infrastructure
- Develop data pipelines and retrieval systems
- Implement context engineering strategies
- Optimize agent system performance for latency cost reliability scalability
- Set up continuous integration automated testing and observability
Perks/Benefits
- 401k employer match
- Dental insurance
- Employee stock purchase plan
- Medical insurance
- Paid Holidays
- Paid vacation
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Automated testing | Benchmarking | C++ | Chunking | Continuous integration | Distributed Systems | Embeddings | Failure analysis | Java | Language Models | Large Language Models | Linux | Logging | Machine Learning | Monitoring | Persistent memory | Planning | Prompt engineering | Python | Reasoning and Acting | Regression testing | Retrieval-Augmented Generation | Self-correction | Tool-Calling | Tracing | Vector indexing
Education
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