Software Engineer, Machine Learning

LinkedIn, the world's leading professional networking platform, is seeking a Machine Learning Software Engineer to join their innovative team in Bengaluru. This role sits at the intersection of artificial intelligence and professional networking, where you'll develop cutting-edge algorithms that power content understanding across LinkedIn's platform.

The position offers a unique opportunity to work on large-scale machine learning systems that directly impact how millions of professionals connect, share, and grow. You'll be developing state-of-the-art NLP and vision algorithms to understand member-posted content meaningfully, working with data at an unprecedented scale - millions of posts, videos, and articles generating tens of thousands of interactions hourly.

As part of a fast-growing team of top-notch scientists and engineers, you'll experience the dynamic environment of a startup while leveraging the resources and technology of a world-class enterprise. The role combines hands-on development with strategic thinking, as you'll be responsible for the entire pipeline from ideation and POC to design and deployment.

The ideal candidate brings a strong foundation in machine learning, with particular expertise in areas like computer vision, NLP, or deep learning. You'll be working on fascinating challenges like developing classification models that scale to millions of content pieces and thousands of categories, creating supervised and semi-supervised models that can handle hundreds of millions of members, and pushing the boundaries of content understanding beyond simple feature extraction to include summarization, classification, and clustering.

This hybrid role offers the flexibility to work both remotely and from LinkedIn's office, providing the best of both worlds. You'll be part of a company culture that values innovation, collaboration, and professional growth, with opportunities to mentor junior engineers and represent LinkedIn in academic and industry circles. If you're passionate about applying cutting-edge ML techniques to real-world problems at scale, this role offers an exceptional opportunity to make a significant impact on how professionals worldwide connect and communicate.