LinkedIn, the world's largest professional network, is seeking a Staff AI Engineer to join their team in developing cutting-edge machine learning solutions. This role combines the expertise of both data science and software engineering, offering a unique opportunity to work on projects from ideation to implementation.
The position involves working with massive datasets, developing and training sophisticated machine learning models, and creating personalized recommendations for LinkedIn's global user base. You'll be part of a collaborative team environment, working alongside other machine learning engineers to deliver impactful solutions for the LinkedIn newsfeed.
As a Staff Engineer, you'll have the opportunity to influence the next generation of LinkedIn's systems while working with cutting-edge AI technologies. The role requires expertise in machine learning, data mining, and either information retrieval or natural language processing, along with strong programming skills in languages like Java and Python.
The position offers a competitive compensation package ranging from $164,000 to $268,000 annually, along with comprehensive benefits including health coverage, 401(k), and parental leave. LinkedIn provides a hybrid work environment, allowing for both remote work and in-office collaboration in locations including Sunnyvale, San Francisco, Bellevue, or New York City.
The ideal candidate will have at least 4 years of industry experience in software design and development, with a strong background in machine learning and algorithm development. Additional preferred qualifications include experience with Spark and TensorFlow, and a track record of producing papers in prestigious conferences.
LinkedIn offers a culture built on trust, care, inclusion, and fun, with numerous opportunities for professional growth and development. The company is committed to diversity and equal opportunity, providing a supportive environment where every employee can succeed.
This role presents an excellent opportunity for experienced AI professionals looking to make a significant impact at scale, working with some of the largest datasets in the industry while contributing to LinkedIn's mission of creating economic opportunity for every member of the global workforce.