Browse current Reka AI openings that JobDrop found directly from the company's careers source.
What You’ll Do Translate cutting-edge research into production-ready machine learning systems Design, build, and deploy end-to-end ML models and pipelines Develop and optimize models for image and video processing Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment Rapidly proto
We are an AI research lab building foundational intelligence for the physical world. Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media. We work at the intersection of world models, video generation, and robotics, building s
About the role Join us as a Member of Technical Staff (Product Engineer) and help build the next generation of AI-native products. Reka is a multimodal AI research and product company building models that understand video, audio, and text, reason about the world, and take action. In this role, you will take ownership o
In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines
As a Member of Technical Staff on Applied AI, you will: Productionize frontier AI models to solve complex real-world problems. Collaborate closely with researchers and other teammates on the latest advancements in AI and ML. Work closely with our customers to integrate our models into their technology stack. Make direc
We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on
As a Member of Technical Staff on Machine Learning, you will: Contribute to the entire development cycle of our cutting-edge large deep learning models. Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products. Collaborate closely with engineers and researchers to t