Software Engineer, Applied AI
Tasks
- Build and operate scalable data pipelines
- Build deploy operate applied AI systems
- Conduct large language model evaluation
- Design and build synthetic data generation systems
- Develop data quality systems
- Lead technical discussions with customers
- Partner with AI labs on data post training and evaluation needs
- Prototype new data types benchmarks and evaluation frameworks
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Data Quality | Evaluation | Experimental Design | Go | Language Models | Large Language Models | Machine Learning | Model Inference | Model Training | Python | Rust | Statistical Analysis | Synthetic data
Education
N/A
Roles
Regions
Countries
States
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