Senior Machine Learning Engineer I, AI Governance
Tasks
- Build retrieval augmented generation applications
- Collaborate with cross-functional teams
- Conduct model performance optimization
- Create prompt engineering solutions
- Design machine learning product features
- Develop and deploy machine learning applications
- Document technical architecture and designs
- Evaluate model quality and reliability
- Fine-tune machine learning models
- Implement semantic search systems
- Maintain production machine learning systems
- Stay current with emerging AI technologies
- Troubleshoot model and software issues
- Write production code with testing
Perks/Benefits
- 401k matching
- Career growth
- Flexible vacation
- Medical/Dental/Vision insurance
- Paid parental leave
- Paid time off
- Paid volunteering
- Remote work
Skills/Tech-stack
Agile | Docker | Few-Shot Learning | Few-shot | Fine Tuning | Hugging Face | Information Retrieval | JavaScript | Keras | Kubernetes | Language Models | Large Language Models | MXNet | Machine Learning | Model Evaluation | Node.js | PostgreSQL | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Semantic Retrieval | Semantic Search | Software Engineering | TensorFlow | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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