Senior AI/ML Engineer
Tasks
- Adapt foundation models for domains
- Build natural language interfaces
- Build recommendations systems
- Deploy AI/ML systems
- Develop AI/ML infrastructure
- Develop agentic workflows
- Identify AI/ML opportunities
- Monitor AI/ML models
- Perform data curation
- Prototype AI/ML systems
- Solve AI BI UX problems
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- FSA benefits
- Flexible time off
- Health benefits
- Lunch program
- Paid parental leave
Skills/Tech-stack
AWS | Agent systems | Cloud platform | Data Curation | Deep learning | Foundation Models | Google Cloud | Google Cloud Platform | Inference | Language Processing | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Multimodal Learning | Natural Language | Natural Language Processing | Recommender Systems | Training
Regions
Countries
States
Cities
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