Staff AI/ML Engineer
Tasks
- Adapt foundation models to novel domains
- Build agentic workflows
- Build natural language interfaces
- Collaborate with product, design, and engineering teams
- Deploy AI systems
- Develop AI/ML infrastructure
- Develop recommendation systems
- Identify high-impact AI/ML opportunities
- Monitor AI/ML systems
- Prototype AI systems
- Solve UX problems at the intersection of AI BI and apps
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- FSA benefits
- Flexible time off
- Health benefits
- In-office work environment
- Lunch program
- Paid bonding time
Skills/Tech-stack
AWS | Agentic Workflows | Azure | Data Curation | Data Pipelines | Deep learning | Foundation Models | GCP | Language Processing | Machine Learning | Machine Translation | Model Deployment | Model Monitoring | Model Training | Multimodal Models | Natural Language | Natural Language Processing | Python | Recommendation Systems | SQL | Search | Tool use | Tool-use agents
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Staff AI & ML Engineer
Regions
Countries
States
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