Principal Machine Learning Engineer
USA, WA, Seattle, United States
USD 188K-342K Senior-level Full Time
Tasks
- Build workflow orchestration systems
- Deploy and monitor production machine learning systems
- Design and build core machine learning systems
- Drive scalability reliability and observability
- Implement and evolve RAG pipelines
- Lead and mentor machine learning engineering teams
- Own model agent logic and orchestration layers in production
- Partner to integrate agents into platform stack
- Perform model evaluation and continuous improvement
Perks/Benefits
Skills/Tech-stack
AWS | Cloud Computing | Deep learning | GCP | Graph Neural Networks | Information Retrieval | LLM Powered Agents | Language Models | Language Processing | Large Language Models | Machine Learning | Machine learning model deployment | Mentoring | Model Deployment | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | Orchestration frameworks | RAG | Recommendation Systems | Software Engineering | Statistical Analysis | Supervised Learning | Text Generation | Unsupervised Learning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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