Senior AI/ML Engineer
Tasks
- Adapt foundation models to domains
- Build agentic workflows
- Build natural language interfaces
- Build recommendation systems
- Deploy ML models
- Develop ML infrastructure
- Identify high-impact AI/ML opportunities
- Monitor ML systems
- Productionize AI systems
- Prototype AI systems
- Solve UX problems for AI BI and apps
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- Flexible spending account
- Flexible time off
- Health benefits
- Lunch program
- Paid bonding time
Skills/Tech-stack
AWS | Agentic Workflows | Artificial Intelligence | 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 | Recommendations
Education
Regions
Countries
States
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