Principal Software Engineer, AI Advertiser

Principal Staff Software Engineer, AI Advertiser Growth

• Full-time
• Workplace Type:
  Hybrid

Linked In 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.

This role will be based in Sunnyvale

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

Linked In'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 power our Linked In ad tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML to push the boundaries of our ad stack and meet the future needs of our B2B advertisers.

The Advertiser Growth team at Linked In is at the forefront of driving sustainable growth and delivering exceptional value to a diverse global community of advertisers. Central to Linked In’s mission of creating economic opportunity, the team plays a pivotal role in achieving the company’s revenue goal by tackling critical challenges like optimizing advertiser journeys, reducing advertiser churn, boosting retention, and acquiring high-quality advertisers who drive significant revenue.

• 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 translate business goals into scalable AI‑powered capabilities that improve Advertiser customer’s journey.
• Architect and deploy user‑facing AI systems that adapt to advertiser needs, simplify workflows and deliver personalization guidance.
• Establish best practices for experimentation, model evaluation, and responsible AI within the advertiser growth ecosystem.
• Mentor engineers and collaborate across organizations to scale reusable ML components, accelerate iteration, and strengthen Linked In’s AI infrastructure.

• 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

• BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience.
• Experience in designing and implementing technologies for highly distributed platforms.
• Familiarity with multiple platforms (Linux, Windows, etc.) and languages (C++, Python, etc.).
• Experience in the Advertising and Marketing Industry.
• Experience in Data Science, Machine Learning and Artificial Intelligence.
• Experience designing and building scalable agentic systems.

• Machine Learning and Artificial Intelligence
• A…