Senior Staff AI Engineer, Core AI (AI Algorithm Foundations) About Us: At LinkedIn, our Core AI organization is dedicated to transforming the professional world through innovative artificial intelligence solutions. We aim to enhance the experiences of over a billion members worldwide, enabling them to connect, learn, and grow in unprecedented ways. We develop next generation AI technologies that understand the unique needs of professionals and proactively assist them in achieving their goals. Core AI is embarking on a groundbreaking initiative to develop agentic models that will redefine how our members interact with the LinkedIn platform. We are building advanced AI agents that exhibit reasoning, planning, and interaction capabilities. These agents will power new features and experiences that anticipate professionals' needs, automate complex tasks, and provide personalized guidance, ultimately shaping the future of work. Location: 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. This role will be based in Sunnyvale, CA. Responsibilities: This is a Senior Technical Leader role that will provide thought leadership and expert individual contribution for a team of Senior and Staff/Lead AI Engineers; reporting to the Director of the Foundational Algorithms (Core AI) team. Lead the development of next-generation recommender systems on top of foundational LLMs.Design and train large language models (LLMs) from scratch or adapt existing models to achieve state-of-the-art performance on recommendation tasks in Linkedin’s domain.Drive architectural decisions for foundational model development and deployment, ensuring scalability, efficiency, and robustness.Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence.Collaborate with cross-functional teams (product engineering, infrastructure) to identify high-impact opportunities and integrate models into the LinkedIn platform.Stay at the forefront of research in LLMs and related fields, contributing to the broader research community through publications and presentations.Define and execute rigorous evaluation strategies to benchmark the performance of foundational models against state-of-the-art solutions. Basic Qualifications: 2+ years of experience as a Lead Engineer, Staff Engineer, Principal Engineer, or similar Technical Leadership position.5+ years of industry experience in AI or Machine Learning BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Preferred Qualifications: 10+ years of overall industry/research experience, including extensive experience building and deploying large-scale recommender systems.PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related fieldExpert-level understanding of deep learning architectures, particularly Transformer models, and experience training and fine-tuning LLMs and applying them to recommender systems. Also, extensive experience developing models with advanced reasoning and planning capabilities.Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch).Significant contributions to the field of AI, demonstrated through publications in top-tier conferences (e.g., NeurIPS, ICLR, ICML, ACL) or impactful open-source projects.Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). Also, experience developing models that can evaluate their own progress, identify errors, and adjust their approach accordingly. Strong understanding of reinforcement learning (RL) techniques and their application to agent training in language-based environments.Experience with model evaluation and benchmarking, including the development of novel evaluation methodologies.Experience with specific techniques for improving reasoning and planning in LLMs: e.g., program synthesis, symbolic reasoning, neuro-symbolic AI. Suggested Skills: AI EngineeringLarge Language Models (LLMs)Thought Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. -- Compensation Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits. 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