Data Scientist
Enterprise - US, Texas, Frisco, United States
USD 120K-160K (estimate) Mid-level Full Time
Tasks
- Benchmark model accuracy reliability latency safety
- Build evaluation pipelines for LLMs and agents
- Collaborate with AI engineers product managers and security researchers
- Create agent test harnesses for tool use and coordination
- Curate synthetic and real world test datasets
- Define evaluation metrics and instrumentation
- Design evaluation frameworks for agentic AI systems
- Evaluate knowledge graph quality coverage correctness
- Surface results through dashboards
- Translate evaluation findings into engineering insights
Perks/Benefits
- Family-friendly benefits
- Flexible work hours
- Medical, dental, and vision coverage
- Paid parental leave
- Paid time off
- Retirement plans
- Support for community involvement
Skills/Tech-stack
AWS | Adversarial Testing | Agent systems | Data Generation | Data Quality | Dataset Engineering | Embeddings | Entity Resolution | Experiment tracking | Experimental Design | Faithfulness Metrics | Graph Databases | Groundedness | Hallucination detection | Knowledge graphs | LLM Evaluation | LLM-as-a-Judge | Langfuse | Language Models | Large Language Models | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | Neo4j | NumPy | Pandas | Preference Evaluation | Python | Qdrant | RAG | React | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | Statistical Analysis | Synthetic Data Generation | Synthetic data | Tool use | Vector Databases | Weights and Biases
Education
N/A
Roles
Regions
Countries
States
Cities
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