LLM Researcher
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Summary
Trains and fine-tunes large language models from scratch to build open-source models and solutions, staying current with NLP research and integrating models into products alongside data scientists and engineers. Core stack: deep learning frameworks like TensorFlow, PyTorch, and Keras.
This is a remote position.
LLM Researcher
We are looking for passionate candidates with deep experience in building LLM models from scratch to work on building open source models and solutions on top of them.
Responsibilities:
- Train and improve NLP models using various techniques.
- Fine-tune models based on specific requirements
- Stay up-to-date with the latest NLP research.
- Collaborate with data scientists and software engineers to integrate models into products and services.
- Create and maintain documentation related to the training process and models.
We are looking for passionate candidates with deep experience in building LLM models from scratch to work on building open source models and solutions on top of them.
Responsibilities:
- Train and improve NLP models using various techniques.
- Fine-tune models based on specific requirements
- Stay up-to-date with the latest NLP research.
- Collaborate with data scientists and software engineers to integrate models into products and services.
- Create and maintain documentation related to the training process and models.
Requirements
- Phd/Master's degree in computer science, math, or related field.
- 3+ years of hands on experience in NLP model training from scratch and improvement.
- Training a LLM / or large models from scratch, including traningset prep, fine-tuning, optimizations like quantization, etc.
- Proficiency in deep learning frameworks, including TensorFlow, PyTorch, or Keras.
- Good problem-solving, analytical, and communication skills.
Benefits
- We are currently a remote-first organization following the Work from Anywhere policy.
- We encourage everyone to participate in the ideation and improvement process.
- We value mental well-being and invest in various programs for our teammates.