PhD AI - Trust & Responsible AI Internship Summer 2025

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 Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. Join LinkedIn’s AI/ML team as a PhD intern focused on Responsible AI and Trust Engineering. In this role, you will help shape the future of AI by ensuring that LinkedIn’s AI systems are designed and deployed ethically, transparently, and fairly. You will work on cutting-edge AI models and tools that enhance trust and accountability, addressing critical challenges such as bias mitigation, fairness, privacy, and explainability. This internship offers a unique opportunity to conduct impactful research and develop responsible AI solutions that affect millions of LinkedIn users. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. 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. Our internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: May 27th, 2025 - August 15th, 2025 June 16th, 2025 - September 5th, 2025 Responsibilities: Conduct research on ethical AI, including fairness, transparency, bias detection, and mitigation techniques in machine learning models. Design and implement scalable algorithms to enhance trust in LinkedIn’s AI systems, focusing on fairness, explainability, and accountability. Collaborate with cross-functional teams to integrate responsible AI principles into LinkedIn’s AI-driven products and services. Develop frameworks and tools for detecting, mitigating, and monitoring bias in machine learning models, ensuring that LinkedIn’s recommendations and systems serve diverse and global user bases fairly. Stay current with the latest research and best practices in responsible AI, contributing to publications in top-tier AI ethics and ML conferences. Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services Basic Qualifications: Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship Research experience in responsible AI, trust engineering, or fairness in machine learning. Experience in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow) and libraries for fairness (e.g., AI Fairness 360, FairLearn). Understanding of AI ethics, bias in machine learning, explainable AI, and privacy-preserving techniques. Experience with regulatory standards and ethical guidelines for AI (e.g., GDPR, fairness audits). Preferred Qualifications: Solid understanding of common programming languages used in AI, such as Python, Java, C, and R Experience or desire to learn Hadoop, Pig, or other MapReduce paradigms Experience with real-world applications of ethical AI and deploying models that address fairness, bias, or trustworthiness. Hands-on experience building explainable AI models or interpretable ML systems. Knowledge of adversarial machine learning and privacy-preserving techniques (e.g., differential privacy, federated learning). Strong publication record in AI ethics, fairness, or trustworthy AI conferences (e.g., FAT, AIES, NeurIPS, ICML). Excellent problem-solving skills and a passion for advancing responsible AI in a fast-paced, collaborative environment Excellent communication skills Suggested Skills: Machine Learning and Deep Learning Advanced Data Mining Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity StatementLinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1CQxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCPEEOSupplementFinalJRFQA508c.pdf for more information.LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:-Documents in alternate formats or read aloud to you-Having interviews in an accessible location-Being accompanied by a service dog-Having a sign language interpreter present for the interviewA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.Pay Transparency Policy StatementAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.Global Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice