Research Scientist - Multi-Modal LLMs & Data Development

Encord

Research Scientist - Multi-Modal LLMs & Data Development

Exploring Customer Data with Encord's AI Platform

The role of a Research Scientist here is to leverage the power of Encord's advanced AI platform, which seamlessly integrates data preparation tools with powerful machine learning models. This position will focus on multi-modal data analysis, where we explore customer data from various sources such as text, images, and even audio. Using state-of-the-art LLMs, we aim to understand customer needs deeply, uncover patterns, and generate insights that drive data-driven decision-making. This role is pivotal in enhancing AI solutions across industries by providing comprehensive and accurate data analysis.

Personalizing Model Engineering for Better Customer Experiences

Once we have the customer data, our team will work closely with LLMs to create highly personalized models. This involves fine-tuning pre-trained models to understand individual customer needs better, ensuring that every interaction is tailored to their specific requirements. By doing so, we aim to optimize model performance and enhance user satisfaction. The goal is to deliver not just accurate predictions but also experiences that are truly tailored to each person.

Advanced RAG Systems Enhancing Data Analysis

In addition to customer data exploration, this role will introduce advanced RAG (Retrieval-Augmented Generation) systems. These systems leverage multi-modal embeddings like CLIP and SigLIP to transform image data into highly relevant text or other forms of meaningful information. By integrating these systems into Encord's API, we can create powerful tools for comprehensive data analysis. This role is instrumental in making our platform more versatile and capable of handling a wider range of data challenges.

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