Principal Machine Learning Engineer - LLM Fine-tuning and Optimization
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This position is US - Remote Eligible.Full-TimePrincipal
Salary$292,000 — $365,000 USD
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonMachine LearningPyTorchData scienceLLM
Requirements
- PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field.
- 10+ years of experience with developing machine learning models and products at scale from inception to business impact.
- Programming experience in Python.
- Hands-on experience with frameworks such as PyTorch.
- Proven record of training, fine tuning, optimizing models and inference run-time.
- Experience with data processing for fine-tuning, LLM alignment, and reinforcement learning.
- Knowledge of efficient training and inference, language model evaluation, and multilingual/multimodal modeling.
- Specialized experience in runtime optimizations, model quantization, compression, or GPU inference.
- Experience deploying and scaling business-critical AI services.
Responsibilities
- Work with large scale structured and unstructured data to build and improve foundation models.
- Create a multi-year tech roadmap to maintain a leading edge in AI technologies.
- Continuously evaluate recent and upcoming foundational models for performance and efficiency.
- Prototype, develop, and productionize LLM models and pipelines for batch and real-time use cases.
- Drive AI architectural decisions for products and contribute to the ML platform strategy.
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