Software Engineer, Machine Learning
Description For Software Engineer, Machine Learning
LinkedIn, the world's leading professional networking platform, is seeking a talented Machine Learning Software Engineer to join our innovative team. This role offers an exciting opportunity to work on cutting-edge AI technologies that directly impact millions of professionals worldwide. You'll be developing sophisticated algorithms for content understanding, including text, image, and video analysis, while working with state-of-the-art machine learning models at massive scale.
As part of our team, you'll contribute to developing next-generation algorithms that power LinkedIn's content understanding capabilities, working with both visual and textual data. You'll be responsible for creating and deploying classification models that can handle millions of content pieces and thousands of categories, directly impacting how professionals connect and engage on our platform.
The role combines the excitement of a startup environment with the resources and scale of a global technology leader. You'll have the opportunity to mentor junior engineers, represent LinkedIn in academic and industry circles, and work on projects that shape the future of professional networking. The position offers a hybrid work arrangement, providing flexibility while maintaining collaborative team dynamics.
We're looking for someone with strong machine learning expertise, particularly in areas like computer vision, NLP, and large language models. You'll need either a Master's degree or a Bachelor's with relevant experience, and should be passionate about applying ML solutions to real-world problems. This is an excellent opportunity for someone who wants to work on challenging technical problems while making a significant impact on how professionals worldwide connect and grow their careers.
Responsibilities For Software Engineer, Machine Learning
- Develop next-gen algorithms to understand visual content and textual content and member interactions on LinkedIn
- Develop state-of-art text/image/video/graph classification models scaling to millions of content and thousands of categories
- Develop state-of-art supervised and semi-supervised models scaling to hundreds of millions of members and their content
- Own end-to-end model development and deployment at LinkedIn scale
- Mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems
- Represent LinkedIn in academic and industry circles
Requirements For Software Engineer, Machine Learning
- Master's degree OR Bachelor's degree with 2+ years of work experience
- 2+ years of experience in Computer vision, Image processing, Machine Learning, Statistical modeling/inference, Data mining, NLP, Graph/geometric deep learning, Large Language Models, Generative AI
- 2+ years of hands-on experience working on machine learning, deep learning, NLP or related topics
- Understanding of standard programming and software engineering practices
- Ability and eagerness to program
Benefits For Software Engineer, Machine Learning
- Hybrid work option
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