LinkedIn, the world's largest professional network, is seeking a Staff AI Engineer to join their innovative team. This role represents an exciting opportunity to work at the intersection of big data and machine learning, developing cutting-edge AI solutions that impact millions of users worldwide.
The position offers a hybrid work arrangement across multiple prestigious locations including Sunnyvale, San Francisco, Bellevue, and New York City. As a Staff Engineer, you'll be at the forefront of developing and implementing sophisticated machine learning models that power LinkedIn's recommendation systems.
What makes this role unique is LinkedIn's integrated approach to machine learning engineering – unlike other companies that separate research and implementation, here you'll be involved in the complete lifecycle from ideation to production. You'll work with massive datasets, developing solutions that directly impact the LinkedIn newsfeed and member experience.
The role offers competitive compensation ($164,000-$268,000) and comprehensive benefits including health and wellness programs, generous time away, annual performance bonuses, and stock options. LinkedIn's culture is built on trust, care, inclusion, and fun – where everyone has the opportunity to succeed.
Key responsibilities include working with big data for statistical modeling, writing production-quality code, collaborating with other ML engineers, and building scalable AI innovations. The ideal candidate will have 4+ years of experience in software development and machine learning, with expertise in languages like Java and Python, and frameworks like Spark and TensorFlow.
This is an excellent opportunity for a seasoned engineer looking to make a significant impact at scale while working with cutting-edge AI technologies in a collaborative, innovative environment. Join LinkedIn to help transform the way the world works while advancing your career in AI and machine learning.