Senior Applied AI Engineer
Mountain View, CA, US; Redmond, WA, US
USD 119K-258K Senior-level Full Time Found 11d ago
Tasks
- Build AI-powered products
- Build prototypes and support deployment
- Data preprocessing and feature engineering
- Debug production code
- Design and develop generative AI solutions
- Develop reliable research code
- Fine-tune foundation models
- Identify AI quality gaps
- Identify and mitigate ethical and security risks
- Maintain documentation
- Monitor model behavior and performance
- Research and implement state-of-the-art models
- Share insights and findings
- Train and evaluate ML models
- Translate research into production
- Translate research into real-world solutions
- Use data insights
- Write research papers and patents
Perks/Benefits
- Collaboration opportunities
- Conference presentation
- Industry impact
- Patent filing
- Product deployment
- Research publication
Skills/Tech-stack
AI frameworks | Agent architectures | Bias Mitigation | CI/CD | Classical ML | Data Science | Deep learning | Foundation Models | Generative AI | Graph Algorithms | Large Scale Computing | ML Ops | Machine Learning | Model Evaluation | Multi-Agent | Multi-agent architectures | Multimodal Models | NLP | Open Source | Open Source Libraries | Prompt engineering | PyTorch | Python | Scale Computing | Security practices | Statistical Analysis | TensorFlow
Education
N/A
Regions
Countries
States
Language: en |
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