Data Scientist
Enterprise - US, Texas, Frisco, United States
USD 130K-175K (estimate) Mid-level Full Time
Tasks
- Benchmark LLMs and agentic systems
- Build synthetic and real world datasets
- Collaborate with engineers and product teams on evaluation standards
- Create agent test harnesses and pass fail criteria
- Define evaluation metrics and instrument dashboards
- Design evaluation pipelines for agentic AI systems
- Develop knowledge graph evaluation methods
- Implement LLM as judge and preference evaluation workflows
Perks/Benefits
- Community involvement support
- Family-friendly benefits
- Flexible work hours
- Medical, dental & vision coverage
- Paid parental leave
- Paid time off
- Retirement plans
Skills/Tech-stack
AWS | Agent coordination | Agentic AI | Data Generation | EleutherAI LM Eval | Embedding-based retrieval | Entity Resolution | Experimental Design | Faithfulness | Groundedness | Hallucination detection | Helm | Knowledge graphs | LLM-as-judge | Langfuse | Language Models | Large Language Models | Lm-eval | MLflow | Machine Learning | Multi-Agent | Multi-Agent Coordination | NebulaGraph | Neo4j | NumPy | Pandas | Preference Evaluation | Python | Qdrant | Ragas | React | Scikit-learn | Statistical Analysis | Synthetic Data Generation | Synthetic data | Vector Databases | Weights and Biases
Education
N/A
Roles
Regions
Countries
States
Cities
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