Staff AI/ML Engineer
Tasks
- Adapt foundation models to domains
- Build agentic workflows
- Build natural language interfaces
- Build recommendations systems
- Deploy ML models
- Develop AI/ML infrastructure
- Identify AI/ML opportunities
- Monitor ML models
- Productionize AI systems
- Prototype AI systems
- Scale AI/ML systems
- Tackle AI BI UX problems
- Train ML 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
AI infrastructure | AWS | Agentic Workflows | Azure | Cloud infrastructure | Data Curation | Data Engineering | Deep learning | Foundation Models | GCP | Language Processing | Machine Learning | Model Deployment | Model Monitoring | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | Recommendation Systems
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
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