As a Research Engineer, you will play a key role in advancing the field of artificial intelligence. You will be part of an AI model team that drives innovation in architecture development for cutting-edge models of various scales.
Our work enhances intelligence, improves efficiency, and introduces new capabilities to advance the field. You will have expertise in video generation model architectures with a hands-on, research-driven approach.
Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.
Responsibilities
* Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
* Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
* Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
* Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
* Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
* Cross-functionally collaborate with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
* Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
* Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.
Requirements
* Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
* Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
* Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
* Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models.
About Us
We're a global talent powerhouse working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.