LinkedIn, the world's leading professional networking platform, is seeking a Senior Software Engineer specializing in Machine Learning to join their innovative team in Bengaluru. This role presents an exciting opportunity to work on cutting-edge AI technologies that directly impact how millions of professionals connect and interact worldwide.
As a Senior Software Engineer in Machine Learning, you'll be at the forefront of developing state-of-the-art NLP and vision algorithms to enhance content understanding across LinkedIn's platform. You'll work on sophisticated systems that process and analyze millions of posts, videos, and articles that flow through LinkedIn's feed daily, improving how content is classified, understood, and delivered to users.
The position offers a unique blend of research and practical implementation, where you'll be responsible for developing advanced algorithms for visual and textual content understanding, building scalable video processing systems, and creating models that can handle LinkedIn's massive scale of hundreds of millions of users. You'll work with cutting-edge technologies including multi-GPU setups, distributed training systems, and large-scale data processing pipelines.
This role is perfect for someone who combines strong technical expertise in machine learning and computer vision with practical software engineering skills. You'll have the opportunity to work with a team of top-notch scientists and engineers, experiencing the dynamism of a startup environment while leveraging the resources and scale of a world-class enterprise. The position offers a hybrid work arrangement, providing flexibility while maintaining collaborative opportunities with the team.
If you're passionate about applying machine learning to solve real-world problems at scale, have experience with advanced AI technologies, and want to shape the future of professional networking, this role offers an exceptional opportunity to make a significant impact while advancing your career at one of the world's most influential technology companies.