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. The position combines both research and practical implementation, allowing engineers to work on projects from ideation to production.
The role will be based in multiple possible locations including Sunnyvale, San Francisco, Bellevue, or New York City, with a hybrid work arrangement that balances remote work with in-office collaboration. As a Staff Engineer, you'll be responsible for developing and training sophisticated machine learning models that leverage member platform activities and industry trends to create personalized recommendations.
The position offers competitive compensation ranging from $164,000 to $268,000, along with comprehensive benefits including medical, dental, and vision insurance, 401(k), parental leave, and annual performance bonuses. The team works with cutting-edge technologies including Java, Python, Spark, and various machine learning frameworks.
Key responsibilities include working with big data for statistical modeling, writing production-quality code, collaborating with other machine learning engineers, and building scalable AI innovations. The ideal candidate should have at least 4 years of experience in software development and machine learning, with a strong background in algorithms and data mining.
LinkedIn offers a culture built on trust, care, inclusion, and fun, with significant opportunities for professional growth and development. The company is committed to fair and equitable compensation practices and provides a supportive environment for innovation and career advancement in the field of artificial intelligence and machine learning.