Ai Research Engineer • Mid-Level

Who you are

You have a strong background in machine learning and computer vision, with hands-on experience in building and deploying vision-language models. You thrive in environments where you can take ownership of projects and drive them from conception to deployment, ensuring high-quality outcomes. Your coding skills are robust, and you are comfortable writing production-level code that is maintainable and efficient. You are resilient and understand that setbacks are part of the research process, iterating through challenges to achieve success. You are also a collaborative team player, eager to contribute to a growing team and help shape the future of vision AI.

What you'll do

In this role, you will design and run large-scale training experiments for vision-language models on distributed GPU clusters. You will own the pre-training and fine-tuning pipelines for multimodal models, ensuring they meet real-time constraints without sacrificing quality. Building data pipelines for image-text datasets at scale will be a key responsibility, as will collaborating on the architecture of vision encoders and exploring image compression trade-offs. You will also play a crucial role in growing the team through interviewing and networking, contributing to a culture of excellence and innovation.

What we offer

Liquid AI provides full ownership of your work, from architecture to deployment, in a fast-paced and supportive environment. We offer competitive compensation, including equity in a unicorn-stage company, and cover 100% of medical, dental, and vision premiums for employees and their dependents. Our unlimited PTO policy, along with company-wide Refill Days, ensures you have the time you need to recharge and maintain a healthy work-life balance.