What are the responsibilities and job description for the Senior Staff Engineer - Core AI position at United Foundation?
Senior Staff Engineer, Core AI
HALO - Human Intelligence, Annotation, Localization and Operations
Company Overview :
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
Team Overview :
In this role, you will be a core member of LinkedIn's CORE AI team and will partner closely with other verticals in Data and AI organization and other Product teams. You'll be driving and managing all data curation and annotation efforts across LinkedIn. You'll be at the forefront of transforming how we evaluate our most cutting-edge AI based products leveraging LLMs to enhance our processes. You will oversee the development and improvement of the tools and platforms that support these activities.
Success in this role hinges on building strong partnerships. You'll work closely with teams across the company, ensuring their data requirements are met swiftly and effectively. Your vision, leadership, and strategic mindset will be critical as we push the boundaries of what's possible.
Location :
This role will be based in Sunnyvale, CA, and offers a hybrid work option, allowing you to work from home and commute to a LinkedIn office as needed.
Responsibilities :
- Work with large-scale data to build systems which will leverage and support new techniques for evaluating AI based products.
- Provide technical leadership to junior engineers and collaborator orgs, drive and perform best engineering practices to initiate, plan, and execute large-scale, cross-functional critical projects.
- Hold the team to a high ML craftsmanship bar and actively reduce ML tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
- Partner with data science & analytics teams, product & infrastructure teams to build new innovative ideas to improve member experience.
- Bring together industry research and develop opportunities to contribute back to industry research.
Basic Qualifications :
Preferred Qualifications :
Suggested Skills :
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