Data Scientist - Large Language Models (LLMs) - Remote

Overview

We are seeking a talented and passionate Data Scientist with a focus on Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and experience working with state-of-the-art LLMs. You will play a key role in developing, deploying, and optimizing LLM-based solutions to address complex business challenges.

In Short

• Research, develop, and implement cutting-edge LLM-based models and applications.
• Fine-tune and customize pre-trained LLMs for specific tasks and domains.
• Evaluate and compare different LLMs to determine the best fit for various use cases.
• Collaborate with cross-functional teams to identify opportunities for LLM integration and development.
• Develop and maintain data pipelines for LLM training and inference.
• Monitor and evaluate LLM performance, identifying and addressing potential issues.
• Stay up-to-date with the latest advancements in LLM research and technology.
• Document and communicate findings and results effectively.

Requirements

• Master's in Computer Science, Data Science or a related field.
• Strong background in machine learning and deep learning.
• Experience working with and fine-tuning Large Language Models (LLMs) such as GPT, BERT, or similar.
• Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face, Transformers).
• Solid understanding of natural language processing (NLP) techniques.
• Experience with data preprocessing, cleaning, and feature engineering for text data.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Benefits

• An incredible opportunity to impact AI for good and empower the human with AI solutions and services.
• A competitive compensation package.
• Remote first + Hybrid workplace.
• VERI Communities (Affinity Groups) & Belonging.
• Empowerment to build your career journey at Veritone.
• Flexible (Paid) Time Off.
• Mental health awareness and support.