Senior Machine Learning Engineering (Remote)
Durham, North Carolina, United States of America
R
USD 108K-270K Senior-level Full Time
Tasks
- Build and train production machine learning models
- Collaborate with product and engineering teams
- Deploy machine learning models to production
- Develop generative AI applications
- Establish testing and continuous integration practices
- Guide software architecture and coding standards
- Implement retrieval augmented generation systems
- Lead design and development of machine learning applications
- Mentor and train team members through pair programming
- Optimize context window and token management
- Optimize vector databases and embedding models
- Own machine learning data products and improve them
- Perform prompt engineering and LLM evaluation
- Research emerging machine learning tools techniques and algorithms
- Support external customers as a consultant or solutions engineer
Perks/Benefits
Skills/Tech-stack
AWS | Agent Frameworks | Agile | Azure | Bias detection | CI/CD | Cloud platform | Context window | Context window optimization | Continuous integration | Docker | Embeddings | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Hallucination mitigation | Kanban | Language Models | Large Language Models | Linux | MLOps | Machine Learning | Mixture of Experts | Model Distillation | Model Optimization | Model Quantization | Model guardrails | NumPy | Pandas | Prompt engineering | PyTorch | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Scrum | TensorFlow | Token Management | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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