Senior AI/ML Engineer
Tasks
- Adapt foundation models to domains
- Build agentic workflows
- Build natural language interfaces
- Build recommendation systems
- Develop AI/ML infrastructure
- Develop and deploy ML models
- Identify AI/ML opportunities
- Implement AI/ML monitoring
- Productionize AI systems
- Prototype AI systems
- Scale AI ML infrastructure
- Solve UX problems at intersection of AI BI apps
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 | 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 | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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