Senior Apps Applied Scientist
Cupertino; New York City; Seattle
USD 167K-264K (estimate) Senior-level Full Time
Tasks
- Apply statistical modeling for supervised learning
- Apply statistical modeling for unsupervised learning
- Build AI tools frameworks and APIs
- Collaborate with engineering, product, and marketing
- Deploy AI/ML models to production
- Design machine learning and AI models
- Develop and implement ML pipelines
- Develop internal AI frameworks and tooling
- Perform LLM fine tuning prompt engineering and RAG
- Prototype AI-powered features
- Use causal inference models
- Validate research ideas through reproduction
- Work with large-scale data and distributed systems
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Classification | Clustering | Data Processing | Distributed Systems | Fine Tuning | Hadoop | LLM Fine-tuning | Language Processing | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Production Machine Learning | Prompt engineering | Python | Regression | Retrieval-Augmented Generation | Scikit-learn | Spark | Statistical modeling | Supervised Learning | Unsupervised Learning
Education
Regions
Countries
States
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