Senior Applied Scientist
Tasks
- Build and ship machine learning models
- Deploy models to production
- Design metrics and evaluation for product impact
- Frame problems and prototype solutions
- Lead and mentor scientists and engineers
- Monitor model performance in production
- Optimize deployment latency and cost
- Own product integrated models end to end
- Partner with engineering on inference optimization
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | ArgoCD | Databricks | ELK | Embeddings | Forecasting | GitLab CI | Grafana | Inference Optimization | Kubernetes | LLM | Machine Learning | Model Monitoring | Personalization | PyTorch | Python | Recommendation Systems | Sentry | XGBoost
Education
N/A
Roles
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