Data Scientist
Tasks
- Build LLM agent systems
- Build evaluation harnesses and feedback loops
- Create prompts and context for LLM agents
- Deliver models to production
- Design model experiments and evaluation
- Develop machine learning models
- Implement tool use patterns for LLMs
- Iterate models based on evaluation results
- Monitor model performance in production
- Research security data modeling approaches
Perks/Benefits
- 401k options
- Flexible time off
- Fully remote
- Health and wellness benefits
- Home office stipend
- Internet & Phone Stipend
- Learning and development fund
- Paid Company Holidays
- Vision and dental benefits
Skills/Tech-stack
Classification | Deep learning | Experiment design | Fine Tuning | LLM Agents | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Reproducibility | Series analysis | TensorFlow | Testing | Time Series | Time Series Analysis
Education
Roles
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