LinkedIn is seeking a talented Machine Learning Software Engineer to join our innovative team. This role offers an exciting opportunity to work at the intersection of AI and professional networking, developing cutting-edge algorithms that impact millions of users worldwide.
You'll be part of a team responsible for developing state-of-the-art NLP and vision algorithms to understand member-posted content meaningfully. The role involves working on content understanding, classification, and clustering at massive scale, handling millions of pieces of content and interactions daily.
As a Machine Learning Engineer at LinkedIn, you'll have the unique opportunity to work with one of the world's largest professional networks, applying advanced ML techniques to solve complex problems in content understanding and member interactions. You'll be developing and deploying models that scale to hundreds of millions of users, working with both supervised and semi-supervised learning approaches.
The position offers the flexibility of hybrid work, allowing you to balance remote work with in-office collaboration. You'll be part of a fast-growing team of top-notch scientists and engineers, experiencing the dynamism of a startup while having access to the resources and scale of a world-class enterprise.
This role is perfect for someone who is passionate about machine learning, has strong programming skills, and wants to make a significant impact on how professionals worldwide connect and share knowledge. You'll have the opportunity to mentor junior engineers, contribute to the ML community through academic and industry engagement, and work on challenging problems at the forefront of AI technology.