PhD Research Intern - Machine Learning Innovations

Job Description Must be enrolled in a university prior to and post internship. Target Internship Duration: May-Aug 2026 or June-Sept 2026. Location: Burlington, MA. The Program: Join us in shaping the future! We are looking for passionate and talented individuals who are eager to make a real impact in the field of machine learning and artificial intelligence. Our internship program is designed to enhance your learning journey, expand your professional connections, and empower you to contribute to exciting projects. The Team: The Machine Learning Research Group is on the hunt for exceptional AI and ML research interns. We are committed to pushing the boundaries of scientific knowledge with practical applications. As part of our dynamic research team, you will have the opportunity to publish your findings in leading machine learning and artificial intelligence forums. Our focus areas include recommender systems, content moderation, foundation models, privacy-preserving technology, probabilistic programming, and AI agents. Your contributions will play a key role in driving meaningful advancements. Responsibilities What you'll be doing: Create innovative datasets that challenge existing AI and ML capabilities. Research, design, and implement cutting-edge methodologies. Contribute to impactful research with potential for publications and conference presentations. Collaborate effectively with team members and other departments. Transfer technology innovations to product teams. Engage and collaborate with external researchers. What You'll Bring: To be considered for this Research Intern position, you must meet the following essential qualifications: Currently pursuing a Ph.D. in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or a related field, and plan to return to your program after the internship. Research or work experience in relevant fields such as Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, or Artificial Intelligence. Strong programming skills in Python along with hands-on experience using common machine learning frameworks, such as PyTorch. A proven track record of research and publications. Exceptional communication skills. Must reside and/or attend university in the United States. Preferred Qualifications: A minimum GPA of 3.0. The Machine Learning Research Group is an advanced research body within Oracle, focusing on pioneering technologies that maintain Oracle's leading position in the tech industry. Our researchers explore innovative approaches and methodologies, often undertaking projects that present high risk or uncertainty, addressing challenges that are difficult to manage within standard product development environments. Our goal is to deliver technologies that will significantly shape the future of technology and society. Disclaimer: Some customer-focused roles may require compliance with specific requirements, such as immunization or occupational health mandates. Salary and benefits are location-specific and can vary based on experience, knowledge, and skillset. The role will continue to accept applications for at least three calendar days from the posting date or as long as the job remains posted. About Us As a leader in cloud solutions, Oracle is dedicated to using innovative technology to address contemporary challenges. With over 40 years of success, we prioritize integrity and collaboration. We believe true innovation occurs when everyone is empowered to contribute, which is why we are committed to building an inclusive workforce that fosters opportunities for all. Join us for a rewarding career with global opportunities, where work-life balance is valued, and comprehensive benefits are provided to support our employees. We are also committed to community engagement through our volunteer initiatives. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans' status, or any other characteristic protected by law.

Created: 2026-03-04