PhD Research Intern - Machine Learning Research Group

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 on the lookout for talented and driven individuals who are eager to contribute to groundbreaking services and solutions. Our internship program is designed to enrich your learning experience, expand your professional network, and empower you to make a significant impact.

The Team:

The Machine Learning Research Group is seeking exceptional AI and ML research interns. We are dedicated to advancing scientific knowledge with real-world applications. You will collaborate with a dynamic research team that publishes in leading machine learning and artificial intelligence venues. Our areas of expertise cover recommender systems, content moderation, foundation models, privacy-preserving technology, probabilistic programming, and AI agents. Your work will be crucial in driving meaningful progress.

Responsibilities

What you'll be doing:

• Create innovative datasets that challenge current AI and ML capabilities.

• Research, design, and implement cutting-edge methodologies.

• Contribute to groundbreaking research with the potential for publications and conference presentations.

• Collaborate effectively with team members and across various teams.

• Transition 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, and 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 committed to using innovative technology to address contemporary challenges. With over 40 years of success, we prioritize integrity and collaboration. We believe that real innovation occurs when everyone is empowered to contribute, which is why we are dedicated to building an inclusive workforce that fosters opportunities for all.

Join us for a fulfilling career with global opportunities, where work-life balance is valued, and strong benefits are provided to support our employees. We are also dedicated 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.