LinkedIn, the world's largest professional network, is seeking a Senior Staff Engineer for their Core AI team, specifically within the HALO (Human Intelligence, Annotation, Localization and Operations) division. This role represents a unique opportunity to shape the future of AI implementation at LinkedIn.
The position involves leading and managing data curation and annotation efforts across LinkedIn while working with cutting-edge AI technologies, including Large Language Models (LLMs). You'll be responsible for developing and improving tools and platforms that support these activities, working at the intersection of AI infrastructure and practical implementation.
As a Senior Staff Engineer, you'll collaborate with various teams across the company, from data science to product development, ensuring that data requirements are met efficiently and effectively. The role demands both technical expertise and leadership skills, as you'll be guiding junior engineers while maintaining high standards for ML craftsmanship.
The compensation package is highly competitive, ranging from $233,000 to $315,000 annually, complemented by annual bonuses and RSUs. LinkedIn offers comprehensive benefits including medical, dental, and vision insurance, 401(k), parental leave, and various wellness programs.
The position is based in Mountain View, CA, with a hybrid work arrangement that balances remote work with in-office collaboration. This role is perfect for someone with strong machine learning expertise who wants to make a significant impact on how AI is implemented at scale while working with a company that values work-life balance and professional growth.
Key responsibilities include working with large-scale data systems, providing technical leadership, reducing ML technical debt, and contributing to industry research. The ideal candidate will have 5+ years of industry experience, with at least 2 years in a leadership position, and strong expertise in machine learning or recommendation systems.
LinkedIn's commitment to diversity and inclusion, combined with their mission to create economic opportunity for every member of the global workforce, makes this an exciting opportunity for someone looking to make a meaningful impact while advancing their career in AI and machine learning.