Staff AI/ML Engineer
Tasks
- Build agentic workflows
- Build recommendations systems
- Design AI BI app workflows
- Develop AI/ML infrastructure
- Develop ML lifecycle pipelines
- Identify AI/ML opportunities
- Implement natural language interfaces
- Monitor AI/ML models
- 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 bonding time
Skills/Tech-stack
AWS | Agentic Workflows | Cloud platform | Data Curation | Deep learning | Foundation Models | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | Python | Recommendations | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
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