Applied Scientist 4
Tasks
- Build human in the loop evaluation workflows
- Build prototypes
- Collaborate with science engineering and product teams
- Deploy machine learning models
- Design and optimize cloud services for enterprise use cases
- Design and run experiments
- Develop data collection and annotation solutions
- Develop models, prototypes, and experiments
- Evaluate models with systematic evaluation
- Explore new solutions
- Identify customer needs
- Implement machine learning systems
- Invent machine learning algorithms
- Optimize risk profitability and customer experience
- Research new algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
Automatic Speech Recognition | C++ | Cloud Computing | Computer Vision | Data Annotation | Data collection | Data parallelism | Deep learning | Experiment design | Human-in-the-loop | Java | Language Processing | Language Understanding | Logistic Regression | Machine Learning | Model Parallelism | Model Training | Natural Language | Natural Language Processing | Natural Language Understanding | Optimization | Python | Speech Recognition | The Loop | Time Series
Regions
Countries
States
Cities
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