Senior AI/ML Engineer
Tasks
- Adapt foundation models to novel domains
- Build AI BI UX solutions
- Build agentic workflows
- Build natural language interfaces
- Build recommendations
- Deploy machine learning models
- Develop AI/ML infrastructure
- Identify high-impact AI/ML opportunities
- Monitor machine learning models
- Perform data curation
- Productionize AI systems
- Prototype AI systems
- Scale AI ML infrastructure
- Train machine learning models
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- FSA benefits
- Flexible time off
- Health benefits
- Lunch program
- Paid bonding time
Skills/Tech-stack
AWS | Agentic Workflows | Azure | Cloud platform | Computer Vision | Data Curation | Deep learning | Foundation Models | Google Cloud | Google Cloud Platform | Language Processing | Machine Learning | Model Deployment | Model Monitoring | Model Training | Natural Language | Natural Language Processing | Python | Recommendation Systems | SQL
Regions
Countries
States
Cities
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