Applied AI Engineer
San Francisco, California, United States
USD 150K-170K Entry-level Full Time
Tasks
- Build applied AI systems
- Collect and verify data
- Conduct adversarial robustness testing
- Create evaluation pipelines
- Create rapid prototypes
- Deploy production AI capabilities
- Develop inference services
- Develop production data pipelines
- Evaluate model performance in real world conditions
- Implement observability and monitoring
- Integrate models into production
- Iterate prototypes toward production
- Manage model lifecycle
- Optimize model performance
- Perform failure analysis
- Research AI models
- Serve and monitor ML models
- Test and benchmark models
Perks/Benefits
- 401k
- Casual dress code
- Dental insurance
- FSA
- Free lunch
- HSA
- Life insurance
- Medical insurance
- No meeting Fridays
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
APIs | Adversarial Robustness | Artificial Intelligence | Benchmarking | CI/CD | Containers | Data Pipelines | Distributed Systems | Docker | Edge Deployment | GPU Optimization | Low Latency | Low Latency Inference | Machine Learning | Model Evaluation | Model Monitoring | Model Serving | Observability | Python
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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