Staff AI Engineer

LinkedIn, the world's largest professional network, is seeking a Staff AI Engineer to join their team in a hybrid work environment. This role presents an exciting opportunity to work at the intersection of big data and artificial intelligence, developing cutting-edge machine learning models that impact millions of users worldwide.

The position requires a strong technical background with at least 4 years of experience in software development and machine learning. As a Staff Engineer, you'll be responsible for developing and implementing sophisticated ML models that leverage member platform activities and industry trends to create personalized recommendations. You'll work with massive datasets, applying statistical modeling and data mining techniques to drive innovative solutions.

The role offers a competitive compensation package ranging from $164,000 to $268,000 annually, along with comprehensive benefits including medical, dental, and vision insurance, 401(k), parental leave, and commuter benefits. LinkedIn provides a culture built on trust, care, inclusion, and fun, where employees have access to various growth opportunities and wellness programs.

Key responsibilities include working with big data for statistical modeling, writing production-quality code, collaborating with other ML engineers on the newsfeed team, and building scalable AI innovations. The ideal candidate will have experience in Java, Python, Spark, and TensorFlow, with a background in machine learning, data mining, and information retrieval.

LinkedIn's hybrid work model allows for flexibility while maintaining strong team collaboration and culture. The company's commitment to employee growth, comprehensive benefits, and impactful work makes this an excellent opportunity for experienced AI engineers looking to make a difference at scale.

The role offers the chance to work on challenging problems, access to vast amounts of professional data, and the opportunity to influence the future of professional networking. Join LinkedIn to help transform the way the world works while advancing your career in AI and machine learning.