HIRECLOUT

Investigate and implement methods to enhance existing LLM training, performance, and quality.. Stay informed about the latest advancements in NLP and large language models, integrating new techniques to enhance our models.. Master's degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related quantitative disciplines.. Practical experience in developing models, optimizing training and tuning processes, and deploying Large Language Models like GPT, LLaMA, BERT, or Transformer-based architectures, with extensive knowledge of tokenization and embeddings.. Over 2 years of experience as a Data Scientist developing deep learning models and building ML/AI-backed products, including expertise in transfer learning, meta-learning, and predictive modeling.

sr data scientist

﻿<div><p> Our client is a leading player in the content-creation sphere, enabling creators all over the world to reach new heights and expand their brand. </p><p>What You Will Be Doing </p><ul><li>Refine pre-trained language models for generative AI uses. </li><li>Investigate and implement methods to enhance existing LLM training, performance, and quality. </li><li>Create and launch LLMs for diverse content creation tasks. </li><li>Share insights and results with colleagues working on similar projects. </li><li>Stay informed about the latest advancements in NLP and large language models, integrating new techniques to enhance our models. </li><li>Keep up with industry updates, exploring startups and innovative applications of LLMs. </li><li>Perform experiments and benchmarks to evaluate model performance and fine-tune hyperparameters. </li><li>Address and solve issues during model training and deployment. </li><li>Collaborate with product teams to ensure smooth, high-quality product delivery, balancing short-term gains with long-term growth. </li></ul><p>What You Will Need </p><ul><li>Master's degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related quantitative disciplines. </li><li>Practical experience in developing models, optimizing training and tuning processes, and deploying Large Language Models like GPT, LLaMA, BERT, or Transformer-based architectures, with extensive knowledge of tokenization and embeddings. </li><li>Over 2 years of experience as a Data Scientist developing deep learning models and building ML/AI-backed products, including expertise in transfer learning, meta-learning, and predictive modeling. </li><li>Proficiency in visualizing and managing large datasets. </li><li>Strong analytical and problem-solving skills, with a deep curiosity about the evolution of AGI. </li><li>Passionate about creators and possess excellent oral and written communication abilities. </li><li>Familiarity with other deep learning models such as CNNs and RNNs. </li></ul><p>Why Us </p><p> Benefits and Perks: </p><ul><li>Competitive Salary : $180,000 - $220,000 per Year </li><li>Bonus + Stock options </li><li>Full Health, Vision, and Dental Coverage </li></ul><p> Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. </p><p> This position does not offer sponsorship. </p><p>#LI-AA1 </p></div><h3>J-18808-Ljbffr</h3>

START NEW SEARCH