Job Details

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:

Are you eager to shape the future of technology?We are looking for passionate and talented individuals ready to make a real impact in machine learning and artificial intelligence. Our internship program is tailored to enhance your learning, expand your professional network, and empower you to contribute to groundbreaking projects.

The Team:

The Machine Learning Research Group seeks exceptional AI and ML research interns dedicated to pushing the boundaries of scientific knowledge with practical applications. As part of our dynamic research team, you will have opportunities to publish your findings in top-tier machine learning and artificial intelligence platforms. Our focus areas include recommender systems, content moderation, foundation models, privacy-preserving technology, probabilistic programming, and AI agents. Your contributions will be pivotal in driving significant advancements.

Responsibilities

• Create innovative datasets that challenge and enhance existing AI and ML capabilities.
• Research, design, and implement state-of-the-art methodologies.
• Contribute to impactful research with high potential for publications and conference presentations.
• Collaborate effectively with team members and cross-functional departments.
• Translate technology innovations to product teams.
• Engage and collaborate with external researchers, enhancing the research community.

What You'll Bring:

To qualify for this exciting Research Intern position, you must meet the following qualifications:

• Pursuing a Ph.D. in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or related fields, with plans to return to your program after the internship.
• Research or work experience in relevant domains such as Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, or Artificial Intelligence.
• Proficient programming skills in Python, along with hands-on experience using popular machine learning frameworks like PyTorch.
• A demonstrated record of research and publications.
• Exceptional communication skills with a collaborative mindset.
• Must reside and/or attend university in the United States.

Preferred Qualifications:

• A minimum GPA of 3.0.

The Machine Learning Research Group is a pioneering research entity within Oracle, focused on developing cutting-edge technologies that keep Oracle at the forefront of the tech industry. Our researchers delve into innovative approaches and methodologies, often tackling challenging projects that exceed conventional product development frameworks. Our aim is to deliver transformative technologies that will significantly influence 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 tailored to location and may vary based on experience, knowledge, and skills.

The role will continue to accept applications for at least three calendar days from the posting date or until the position is filled.

About Us

As a leader in cloud solutions, Oracle is devoted to leveraging innovative technologies to tackle modern challenges. With over 40 years of success, we prioritize integrity and collaboration. We believe true innovation emerges when everyone is empowered to contribute, which is why we are committed to cultivating an inclusive workforce that provides opportunities for all.

Join us for a fulfilling career with global prospects, where work-life balance is valued, and comprehensive benefits 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 without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans' status, or any other characteristic protected by law.