Senior AI/ML Engineer
Tasks
- Adapt foundation models
- Build natural language interfaces
- Build recommendations
- Curate training data
- Deploy AI/ML systems
- Develop AI/ML infrastructure
- Develop agentic workflows
- Identify AI/ML opportunities
- Implement AI BI and apps UX solutions
- Monitor ML models
- Prototype AI/ML systems
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- FSA benefits
- Flexible time off
- Health benefits
- Lunch program
- Paid parental bonding
Skills/Tech-stack
AWS | Agentic Workflows | Cloud platform | Data Curation | 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 | SQL
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
Regions
Countries
States
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