Senior Staff Software Engineer, AI Infrastructure

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. 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. Join us in building the AI Governance Platform that ensures LinkedIn’s Models are ready and safe to operate in production.LinkedIn’s AI Governance Platform sits in the critical path between model development and production deployment. It serves as a centralized control layer in the deployment path for machine learning models across recommendations, search, ads, GenAI, and other AI-powered experiences, helping determine whether models are ready to move into production.The team builds large-scale, metadata-driven distributed systems that capture signals throughout the ML lifecycle, process high volumes of model and system metadata, execute model validation and evaluation workflows, and apply automated policy-based guardrails before models reach production. These systems enable LinkedIn to consistently enforce standards around fairness, bias, privacy, security, safety, and overall model quality.The platform must operate at the speed and scale of LinkedIn’s ML ecosystem, supporting continuous model training, evaluation, and high-velocity deployment while translating evolving AI governance requirements into scalable, repeatable, and enforceable engineering capabilities.As a Sr. Staff Software Engineer, you will help define the architecture and technical strategy for LinkedIn’s next generation of AI Governance infrastructure. You will solve complex distributed systems, metadata management, and ML infrastructure problems while influencing how trusted and compliant AI practices are implemented across the company.You will partner closely with ML engineers, researchers, infrastructure teams, product organizations, privacy, security, and Responsible AI teams to build foundational systems that enable AI to be developed, evaluated, and deployed safely and consistently at LinkedIn.ResponsibilitiesOwn the technical strategy and architecture for LinkedIn’s large-scale AI Governance, model validation, and policy enforcement infrastructure.Design and build high-scale, metadata-driven distributed systems that ingest, process, store, and analyze model lifecycle metadata, evaluation results, prod...

Read the full posting on Linkedin3 →