Sr. Software Engineer, Machine Learning

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. 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. The Enterprise AI team is responsible for $7B+ lines of business across Hirer, Learning, and Enterprise Jobs. The Hirer AI team connects individuals to opportunities and is building the next-generation recruiter platform with GenAI-powered tools such as AI-assisted search and automated InMails. A new charter, Hiring Assistant, will revolutionize recruiting workflows and is LinkedIn’s #1 priority. The work in the team includes building, tuning, and applying generative AI models where relevant; working with OpenAI to power GAI applications where relevant; and innovating on cutting-edge search and recommendation models to retrieve the best candidates for a given role. As part of a new and fast-growing team of scientists and engineers, you will experience the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise. Responsibilities: Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments. Build and deploy relevance models that power recommender systems and personalized intent engines. Explore novel approaches for ML ranking and downstream impact modeling, and create new product features by leveraging techniques in Generati