Data Engineer

At World Labs, our mission is to revolutionize artificial intelligence by developing Large World Models, taking AI beyond language and 2D visuals into the realm of complex 3D environments, both virtual and real. We're the team that's envisioning a future where AI doesn't just process information but truly understands and interacts with the world around us. We're looking for the overachievers, the visionaries, and the relentless innovators who aren't satisfied with the status quo. You know that person who's always dreaming up the next big breakthrough? That's us. And we want you to be part of it. As a Data Engineer at World Labs, you will be at the forefront of developing AI systems that address critical challenges. We're looking for individuals with strong engineering skills who can contribute to designing, implementing, and optimizing large-scale distributed data pipelines that are powering our state of the art models. We expect these pipelines to encompass data processing and curation as well as selection and serve data to our model training runs. They have to scale to large quantities of data as well as high throughput filters, seeks, and reads. We seek candidates who excel in designing scalable systems and have a deep understanding of the intricacies of data processing in the context of ML workloads. Your work will directly contribute to World Labs' goal of creating AI solutions that have a positive impact on humanity and our planet. Key Qualifications: 5 years of experience in machine learning, data engineering, or a related field, with a focus on large-scale datasets. Extensive experience in designing data pipelines in the context of large-scale ML model training. Expertise in working with the latest and greatest data management and storage frameworks to implement solutions effectively and with scalability in mind. Deep domain knowledge in one or more AI/ML specialties, with a strong understanding of computer vision techniques and tools. Demonstrated experience processing, analyzing, and training models on large-scale video and image datasets, including knowledge of video/image annotation, pre-processing, and augmentation techniques. Proficiency in implementing and optimizing deep learning frameworks for computer vision tasks (e.g., object detection, segmentation, image classification, or video understanding). Familiarity with image and video formats, codecs, and streaming technologies, ensuring robust and efficient data handling for ML applications. Proven track record of working in teams to train or deploy large models, either at major tech companies or innovative startups. Strong understanding of feature extraction, representation learning, and multimodal models that integrate image, video, and other data types. Passion for applying AI to solve global challenges, particularly in areas involving visual data and its interpretation. Who You Are: Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible. Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger. Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people. Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence. We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad. Join us, and let's make history together.