Chief Architect Machine Learning

16 hours ago


Sunnyvale, California, United States LinkedIn Full time
About the Role

As a Principal Staff Engineer in our Foundational AI Technologies team, you will be at the forefront of building cutting-edge AI technologies that redefine how LinkedIn understands and interacts with its entities across various marketplaces. With your expertise in neural networks and machine learning, you will unblock massive scale projects and drive architectural decisions and implementation across the engineering organization.

About the Team

Our FAIT organization is the innovation epicenter, addressing fundamental AI challenges and spearheading AI innovations for LinkedIn's next-generation AI-driven member experiences. As part of this team, you will collaborate closely with other verticals in Data and AI, and Infrastructure teams to create transformative impact on all LinkedIn products.

About You

We are looking for a seasoned professional with a strong background in machine learning and artificial intelligence. Your experience in bringing large-scale AI systems to production, as well as your expertise in deep learning, information retrieval, and knowledge graph, will be invaluable to our team.

Responsibilities
  • Build foundation models to uniquely comprehend LinkedIn's diverse marketplace entities
  • Unblock massive scale projects with your expertise in neural networks and machine learning
  • Enhance the AI system's ability to understand LinkedIn members' interests, intents, and behaviors
Requirements
  • Bachelor's degree in Computer Science or related technical discipline or equivalent practical experience
  • 7+ years of industry experience in software design, development, and algorithm-related solutions
  • 5+ years in an architect or technical leadership position
Preferred Qualifications
  • Experience in bringing large-scale AI systems to production
  • PhD in Computer Science, Machine Learning, Statistics or related fields
Benefits

LinkedIn offers a competitive salary range of $207,000 to $340,000 per year, depending on location and experience. Additionally, we offer a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.



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