PhD Research Assistant – 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.

Target internship location:
Burlington, MA.

Our future success depends on hiring world‑class, early in career talent who are looking to power next‑generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact.

The Machine Learning Research Group is searching for outstanding AI and ML research interns to join our research team. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and artificial intelligence. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents.

Your contributions have the chance to create real impact.

• Create new datasets that push the limits of existing AI and ML technology
• Research, design and implement novel methods
• Contribute to research that may lead to publications or conference presentations
• Collaborate with other team members and teams
• Transfer technology to product groups
• Collaborate with external researchers

To be considered for a Research Assistant position in the Machine Learning Research Group, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume, application questions, and/or by uploading additional documents such as a transcript.

• Currently pursuing a Ph.D. in the field of Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent AND returning to the program after completion of the internship.
• Research and/or work experience in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
• Excellent programming skills in Python plus hands on experience with common machine learning frameworks, such as Py Torch
• Outstanding research and publication track record
• Excellent communication skills
• Reside in the United States and/or attend a university in the US.

• Minimum 3.0 GPA

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US:
Hiring Range in USD from $18.17 to $34.62 per hour; from: $37,800 to $72,000 per annum.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.