Data Scientist for Large Language Models
7 days ago
As a Data Scientist for Large Language Models, you will be responsible for building and implementing deep learning-based transformer-based machine learning models in the areas of Natural Language processing (NLP) and Computer Vision (CV). The ideal candidate will have a strong background in software engineering and machine learning, with experience in fine-tuning Large Language Models (LLMs) on specific datasets to optimize performance for target applications. You will design and architect LLM models based on the Transformer architecture for various NLP tasks and implement and experiment with different fine-tuning techniques.
Key Responsibilities
- Design and architect LLM models based on the Transformer architecture for various NLP tasks.
- Implement and experiment with different fine-tuning techniques, such as transfer learning, regularization, and data augmentation.
- Fine-tune pre-trained LLMs on specific datasets to optimize performance for target applications.
- Develop and maintain vector databases to store and index semantic embeddings of textual data for efficient and scalable search.
Requirements
- Bachelor's degree in computer science, software engineering, or a related field.
- Master's or PhD degree preferred.
- 5-7 years of related work experience in building and maintaining large scale machine learning platform solutions.
What We Offer
We are proud to offer a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan. Based on eligibility, we estimate the salary for this position to be around $126,100 - $168,100 annually.
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