Staff AI Engineer

LinkedIn, the world's largest professional network, is seeking a Staff AI Engineer to join their innovative team. This role presents an exciting opportunity to work on cutting-edge machine learning and AI technologies that impact millions of users globally.

As a Staff AI Engineer, you'll be at the forefront of developing and implementing sophisticated machine learning models and algorithms that power LinkedIn's recommendation systems. The position uniquely combines both research and practical implementation, allowing you to work on projects from ideation to production deployment.

The role involves working with massive datasets, processing millions of data points to create statistical models and recommendation solutions. You'll be collaborating with a team of 10+ machine learning engineers, focusing on delivering impactful improvements to LinkedIn's newsfeed and other core features. The position requires expertise in machine learning, data mining, and information retrieval or natural language processing.

LinkedIn offers a hybrid work environment, balancing remote work with in-office collaboration in either Sunnyvale, San Francisco, Bellevue, or New York City. The company provides comprehensive benefits including health coverage, 401(k), stock options, and annual performance bonuses. The compensation package ranges from $164,000 to $268,000 per year, reflecting the senior level of this position.

The ideal candidate will have 4+ years of industry experience in software design and algorithm development, strong programming skills in Java and Python, and demonstrated expertise in machine learning and deep learning techniques. Experience with Spark, TensorFlow, and large-scale systems is highly valued.

LinkedIn's culture emphasizes trust, care, inclusion, and fun, providing an environment where innovation thrives. The company is committed to diversity and equal opportunity, offering comprehensive support for employee well-being and professional growth. This role offers the unique opportunity to shape the future of professional networking while working with cutting-edge AI technologies at a global scale.