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.

The Program:

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 Team:

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.

Responsibilities

What you'll be doing:

• 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

What You'll Bring:

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.

• Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.

• 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 PyTorch

• Outstanding research and publication track record

• Excellent communication skills

• Reside in the United States and/or attend a university in the US.

Preferred Qualifications:

• Minimum 3.0 GPA

The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society.

Disclaimer:

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 $19.62 to $53.00 per hour; from: $40,800 to $110,240 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.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC0

About Us

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