Staff AI/ML Engineer
Tasks
- Address UX problems across AI BI and apps
- Build agentic workflows
- Build and scale AI/ML infrastructure
- Deploy ML models
- Develop natural language interfaces
- Develop recommendation systems
- Identify AI ML opportunities with product and engineering teams
- Monitor ML systems
- Productionize AI ML systems
- Prototype AI/ML systems
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- Flexible spending account
- Flexible time off
- Health insurance
- Lunch program
- Paid parental leave
Skills/Tech-stack
AWS | Agentic Workflows | Cloud platform | Deep learning | Foundation Models | Google Cloud | Google Cloud Platform | Language Processing | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Model Training | Natural Language | Natural Language Processing | Python | Recommendation Systems | SQL
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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