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 are 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.
Job Description : At LinkedIn, our Core AI (Foundational AI) organization is dedicated to transforming the professional world through innovative solutions, including advanced models, agents, and AI systems. 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.
Location : The work location for this role is hybrid (home and LinkedIn office on select days, as determined by business needs). This role is based in Sunnyvale, CA.
Team Overview
The Data Amplification team’s vision is to build the most comprehensive professional identity in the world for LinkedIn members and companies. We combine LinkedIn’s rich onsite data with sourced external data, then apply state-of-the-art techniques in large language models, reinforcement learning, and multi-modal inference to create a dynamic, evolving view of the global workforce. This enhanced understanding enables LinkedIn to deliver more relevant insights, connections, and opportunities, advancing our mission to create economic opportunity for every member of the global workforce. We tackle challenging modeling problems through unstructured signal inference, developing models that extract meaning from noisy, multi-modal professional data using LLMs, embeddings, and advanced entity linking techniques.
Responsibilities
Senior Technical Leader who will provide expert-level individual contributions to advanced models, in addition to thought leadership, mentorship, and strategy for a team of 10-15 engineers working on critical high-profile initiatives.
Continuously improve recommendations and predictions through member feedback loops and RL-driven optimization to build adaptive systems that learn from member interactions.
Enable applied AI for member impact: inferring rich, dynamic representations of members and their networks; predicting credibility with high precision; assigning nuanced professional tags at scale for products like ads targeting or recruiter search; and generating high-quality candidate sets for ranking, recommendations, and notifications. These models are deployed end-to-end across LinkedIn’s ecosystem, driving smarter feed recommendations, more relevant connection suggestions, and the next generation of semantic search. The focus is on applied AI at scale, where every improvement directly shapes the professional experience for hundreds of millions of members.
Lead the development of next-generation inferences, credibility modeling, tagging, and other solutions related to AI-driven personalization.
Design and train large language models (LLMs), working with model distillation and compression for inference at scale.
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.
Stay at the forefront of research in AI modeling 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.
Qualifications
Basic Qualifications :
2+ years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent.
5+ years of industry experience in AI or Machine Learning Engineering.
BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience.
Preferred Qualifications :
10+ years of overall industry/research experience in AI and/or Machine Learning.
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field; expert-level understanding of deep learning architectures, particularly Transformer models, and experience training and fine-tuning LLMs and applying them to recommender systems.
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 or impactful open-source projects.
Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot).
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 techniques for improving reasoning and planning in LLMs, e.g., program synthesis, symbolic reasoning, neuro-symbolic AI.
Suggested Skills :
AI Modeling
Reinforcement Learning (RL)
Technical Leadership
Large Language Models (LLMs)
You will benefit from our culture
We strongly believe in the well-being of our employees and their families. We offer generous health and wellness programs and time away for employees of all levels.
Compensation
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 skill set, years & depth of experience, certifications, and specific office location. The total compensation package may include annual performance bonus, stock, benefits and/or other incentive plans. For additional information, visit: https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement : LinkedIn is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender identity or expression, sexual orientation, citizenship, or any other legally protected status. We also provide an inclusive and accessible experience for job seekers with disabilities and accommodations by request at accommodations@linkedin.com.
Reasonable accommodations are adjustments to the application or hiring process to enable full participation. Examples include documents in alternate formats, interviews in accessible locations, service animals, or sign language interpreters. A response time for accommodation requests is typically within three business days.
LinkedIn complies with applicable pay transparency and fair chance laws. For details, visit the Pay Transparency Policy Statement and related resources linked in the original posting.