Senior AI/ML Engineer
Tasks
- Adapt foundation models to domains
- Build customer-facing AI features
- Develop AI/ML infrastructure
- Identify AI/ML opportunities
- Monitor ML systems
- Productionize AI systems
- Prototype AI systems
- Scale internal tooling for AI ML
Perks/Benefits
- 401k
- Commuter benefits
- Dog-friendly office
- Equity
- Flexible spending account
- Flexible time off
- Health benefits
- Lunch program
- Paid bonding time
Skills/Tech-stack
AWS | Agentic Workflows | Data Curation | Deep learning | Foundation Models | Google Cloud | Language Processing | Machine Learning | Machine Translation | Microsoft Azure | Model Deployment | Model Monitoring | Model Training | Natural Language | Natural Language Processing | Recommendations | Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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