Staff AI/ML Engineer
Tasks
- Build AI recommendations
- Build agentic workflows
- Build natural language interfaces
- Collaborate with product, design, and engineering teams
- Develop AI/ML infrastructure
- Identify high-impact AI/ML opportunities
- Monitor machine learning models
- Productionize AI ML systems
- Prototype AI/ML systems
- Scale AI ML infrastructure
- Solve UX problems at intersection of AI BI and apps
- Train and adapt foundation models
Perks/Benefits
- 401k matching
- Commuter benefits
- Comprehensive health benefits
- Dog-friendly office
- Equity
- FSA benefits
- Flexible time off
- Lunch program
- Paid bonding time
Skills/Tech-stack
AWS | Agentic Workflows | Azure | Data Curation | Deep learning | Foundation Models | Google Cloud | Language Processing | Machine Learning | Model Deployment | Model Monitoring | Model Training | Natural Language | Natural Language Processing | Python | 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
Cities
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