At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. Weâre here to change that. As former computer scientists, physicists, and quants, weâve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internetâwhere the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, weâre one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Weâre building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. Youâll solve problems of large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers. You feel at home with challenging front-end work, such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. Youâll work with the biggest names in robotics and autonomous vehicles. Youâll understand the details of with visual, spatial and sensor data, making sense of reality. You will operate with high degrees of autonomy and be expected to craft at speed. We need performant, reliable and maintainable solutions to challenging problems - both technical and product. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of progress on a core part of our product.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees