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LinkedIn was built to help professionals achieve more in their careers, and everyday 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.We are looking for an experienced Staff AI Engineer to step into a crucial role as a technical leader within our Trust AI Platforms & Foundations team and our content abuse prevention team. Our primary mission is to establish standardized tools, platforms, and algorithms that will serve various trust-focused teams. You will also get to contribute to the improvement of the LinkedIn member experience by building scalable models that detect and prevent content abuse on our platform.At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.Responsibilities: • Lead the team to deliver state-of-the-art solutions for the most complex problems to keep members safe on the platform• Strong ownership and collaboration skills to work across horizontal and vertical teams by driving consensus, domain adaptation and alignment.• Drive technical roadmap and architecture for foundational technology across the Trust organization • Align on product and technology strategy related to Trust issues across functions and organizations across LinkedIn• Lead by example to build a culture of craftsmanship and innovation and mentor the next generation of engineering leaders. Basic Qualifications: • MS/PhD Degree in Computer Science or related technical or quantitative discipline, or equivalent practical experience • 10+ years' experience in machine learning, artificial intelligence, and ML algorithm related solutions• 5+ years in an architect or technical leadership position • Domain expertise in deep learning, Generative AI and large language models• 10+ years of experience in large scale machine learning modelling both from scale of operation and scale of the models• 10+ years of Experience in end-to-end model development life cycle spanning (but not limited to) data sampling, model training, deployment and performance evaluationPreferred Qualifications:• Experience in pre-training/fine tuning of large language models including the recent generative set models•Expertise in one or more of the following: machine learning, data mining, security data science, advanced statistics, internationalization, information retrieval, or Generative AI.Suggested Skills:- Machine Learning- Generative-AI- CommunicationYou 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.India Disability PolicyLinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdfGlobal Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal