Software Engineer - AI Platform

Overview In this role, you will help scale Linked In’s AI training and inference capabilities, from large-scale model training to feature engineering, across billions of parameters. You will join cross-functional teams focused on performance, observability, and advanced ML infrastructure, collaborating with researchers and engineers to push the boundaries of AI at scale. Your work will impact internal AI teams and contribute to a high-velocity, open-source–friendly ecosystem. This role offers a chance to shape the future of AI tooling at Linked In with a strong emphasis on performance and reliability. Compensation / Benefitshealth and wellness programscompetitive compensationannual performance bonusstock/equitybenefits and incentive planstime away for employees Responsibilities Design, implement, and optimize large-scale distributed training and serving for recommendations and large language models Improve observability and developer productivity across systems Collaborate with peers and partners to define and deliver impactful features at high velocity Develop and maintain containerized pipelines and base images, and update DL frameworks and libraries Key requirements Bachelor in Computer Science or related technical discipline; or equivalent practical experience 1+ years in industry with deep learning systems experience Proficiency in Java, C++, Python, Go, Rust, C#, or functional languages like Scala Experience in Machine Learning/AIcollaborationproblem solvingadaptability Distributed Systems Backend Systems Infrastructure Java