LinkedIn is seeking a Machine Learning Software Engineer to join their innovative team focused on developing state-of-art NLP & vision algorithms for content understanding. The role involves working on cutting-edge content understanding and classification algorithms that impact millions of LinkedIn members.
As part of this role, you'll be developing next-generation algorithms to understand visual and textual content, creating classification models that scale to millions of content pieces and thousands of categories. You'll work with supervised and semi-supervised models handling hundreds of millions of members and their content.
The position offers the excitement and dynamism of a startup environment while providing the scale and technology infrastructure of a world-class enterprise. You'll be part of a growing team of top-notch scientists and engineers, working on end-to-end model development and deployment at LinkedIn scale.
The role provides a hybrid work arrangement, allowing flexibility to work from home and office. You'll have the opportunity to mentor junior research engineers and represent LinkedIn in academic and industry circles by showcasing innovations and scientific expertise.
This is an excellent opportunity for someone passionate about machine learning and its real-world applications, particularly in areas like computer vision, NLP, and large language models. You'll be at the forefront of developing solutions that directly impact how millions of professionals connect and communicate on LinkedIn's platform.