Principal Machine Learning Engineer
Tasks
- Automate operations and production support
- Build cloud services on infrastructure as service
- Build training infrastructure for GPU clusters
- Contribute to publications and open source submissions
- Create technical design documentation
- Design agentic systems at enterprise scale
- Design and develop AI software
- Design robust maintainable architectures
- Develop distributed scalable fault tolerant systems
- Evaluate models using benchmarking
- Implement human preference learning
- Implement structured logging and metrics instrumentation
- Manage CI CD and production operations
- Perform model training fine tuning and serving
Perks/Benefits
- Dental insurance
- Health insurance
- Life insurance
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
Attention Mechanism | Benchmarking | CI/CD | Cloud Architecture | Containers | Distributed Systems | Docker | Fine Tuning | GPU Computing | Generative AI | Human preference learning | Infrastructure as Service | Instrumentation | Java | Kubernetes | Machine Learning | Model Evaluation | Model Serving | Monitoring | Preference Learning | Prompt engineering | Python | Service Oriented | Service-Oriented Architecture | Structured Logging | Training | Transformer
Education
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