Principal Data Scientist - Agentic AI Discovery & Prototyping
South San Francisco, United States
USD 217K-403K Senior-level Full Time
Tasks
- Build AI prototypes and proof of concept systems
- Collaborate with ML engineering for production architectures
- Design innovation sprint cycles
- Design multimodal AI workflows
- Develop LLM orchestration and multi agent systems
- Develop model evaluation harnesses and benchmarking pipelines
- Document experimentation insights and evaluation results
- Establish R and D experimentation frameworks
- Identify opportunities for publications patents and reusable AI capabilities
- Implement retrieval-augmented generation pipelines
- Monitor and synthesize frontier AI research
- Partner with AI product management on roadmap ready capabilities
- Produce internal AI signals briefs and research briefs
- Prototype reusable AI architectures and system patterns
- Translate research signals into experimentation hypotheses
Perks/Benefits
- N/A
Skills/Tech-stack
AI-assisted coding | Agent systems | Agentic AI | Alignment | Assisted coding | Auditing | Benchmarking | Causal Inference | Cost Optimization | Data Generation | Database Integration | Embedding Models | Experimentation | Fine Tuning | Generative AI | Hugging Face | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | Llamaindex | Machine Learning | Model Evaluation | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Multimodal AI | Predictive Modeling | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Safety | Scalability | Synthetic Data Generation | Synthetic data | TensorFlow | Tracing | Vector Database | Vector Databases | Vector database integration
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
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