Research Scientist - Graph Foundation Models
Tasks
- Build and optimize machine learning pipeline
- Collaborate with engineering and product teams
- Collect and prepare data
- Define applied research agenda
- Design and implement novel model architectures
- Develop AI-driven applications
- Fine-tune foundational models
- Integrate research solutions with platform
- Lead technical research projects
- Monitor models in production
- Run hyperparameter tuning experiments
- Train and evaluate machine learning models
Perks/Benefits
- Access to global AI advisors
- Extended parental leave
- National health plan
- Remote work
- Unlimited vacation
Skills/Tech-stack
Agile | Data Processing | Data pipeline | Deep learning | Distributed Systems | Graph Neural Networks | Hyperparameter Tuning | Large Scale Data | Large-scale | Large-scale Data Processing | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Neural Networks | PyTorch | Python
Education
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