Staff AI Engineer

LinkedIn, the world's largest professional network, is seeking a Staff AI Engineer to join their innovative team. This role offers an exciting opportunity to work on cutting-edge machine learning models and algorithms that power LinkedIn's recommendation systems. You'll be working with big data, processing millions of samples for statistical modeling and recommendation solutions. The position involves collaborating with 10+ machine learning engineers to deliver impact on LinkedIn's newsfeed and building scalable AI innovations with foundation and infrastructure partners.

The role combines both research and practical implementation, allowing you to work on projects from ideation to production. You'll be responsible for developing and training advanced machine learning models that leverage member platform activities and industry trends to create personalized recommendations. The position requires expertise in machine learning, data mining, and either information retrieval or natural language processing.

As a Staff Engineer, you'll have the opportunity to influence LinkedIn's next-generation systems and work in a culture built on trust, care, inclusion, and fun. The company offers comprehensive benefits including health and wellness programs, generous time off, and competitive compensation including stock options. The hybrid work environment allows for flexibility while maintaining strong team collaboration.

The ideal candidate should have strong technical background in machine learning, big data, and deep learning, with experience in technologies like Spark, Tensorflow, and Java. Leadership or mentorship experience is preferred, along with a track record of producing papers in prestigious conferences and patenting innovations. This role offers the chance to make a significant impact on LinkedIn's AI infrastructure while working with a talented team in a supportive environment.