Staff AI/ML Engineer
Tasks
- Adapt foundation models to domains
- Build agentic workflows
- Build natural language interfaces
- Build recommendations
- Deploy AI/ML systems
- Develop AI/ML infrastructure
- Develop ML lifecycle pipelines
- Identify AI/ML opportunities
- Integrate AI with BI and apps
- Monitor ML models
- Prototype AI systems
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- FSA benefits
- Flexible time off
- Health benefits
- Lunch program
- Paid bonding time
Skills/Tech-stack
AI Agents | AWS | Azure | Cloud infrastructure | Data Curation | Deep learning | Foundation Models | GCP | Language Processing | Machine Learning | Model Deployment | Model Monitoring | Model Training | Multimodal Models | Natural Language | Natural Language Processing | Recommendation Systems
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
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