Principal Staff Software Engineer, AI Advertiser Growth

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will  be based in Sunnyvale At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's AI and Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As a Principal Staff Software Engineer you will be setting the technical direction and foundation to build and own algorithms, models, and systems that pow [... source excerpt omitted ...] ling critical challenges like optimizing advertiser journeys, reducing advertiser churn, boosting retention, and acquiring high-quality advertisers who drive significant revenue. Responsibilities: Define and execute technical vision for applying AI to accelerate advertiser growth, improve efficiency, and enhance personalization across multiple product surfaces Design and build large-scale deep learning models and recommender systems that drive relevance and optimize advertiser outcomes. Develop, evaluate, and fine-tune large LLMs to improve accuracy, alignment and product performance for advertiser-facing use cases Partner with Product, Data Science, and AI Research teams to tran [... source excerpt omitted ...] tiser growth ecosystem. Mentor engineers and collaborate across organizations to scale reusable ML components, accelerate iteration, and strengthen LinkedIn’s AI infrastructure. Qualifications Basic Qualifications BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience 7+ years of industry experience in software design, development, and algorithm related solutions. 5+ years in an architect or technical leadership position Background in the following areas: Machine Learning and Artificial Intelligence Preferred Qualifications BS and 12+ years of relevant work experience,