Staff AI/ML Engineer
Tasks
- Adapt foundation models to domains
- Build agentic workflows
- Build natural language interfaces
- Build recommendation systems
- Curate training data
- Deploy ML models
- Develop AI/ML infrastructure
- Identify high-impact AI/ML opportunities
- Monitor model performance
- Productionize AI systems
- Prototype AI systems
- Scale AI ML infrastructure
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 | Agentic Workflows | Cloud platform | Computer Vision | Data Curation | Data Pipelines | 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 | Recommendations | Reinforcement Learning | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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