Demo

Principal Research Scientist, Recommender Systems & ML (PhD)

Oracle
Burlington, MA Full Time
POSTED ON 3/1/2026
AVAILABLE BEFORE 5/1/2026

The Machine Learning Research Group is searching for an outstanding PhD researcher with experience in recommender systems 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 has published in the leading venues in machine learning and artificial intelligence, such as NeurIPS, ACL, and EMNLP. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents, just to name a few. Your contributions have the chance to create real impact.

Qualifications:

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: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

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 - IC4


Responsibilities:

What you'll be doing:

  • Research, design, and implement novel methods for building and measuring ML-based recommendation systems
  • Create new datasets that push the limits of existing AI and ML technology
  • 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:

  • Ph.D. degree in the field of Recommender Systems, Machine Learning, Artificial Intelligence, or equivalent.
  • 3 years of post-PhD research and work experience in Recommender Systems
  • Strong background of theory and practice of machine learning and foundation models
  • Excellent programming and debug skills in Python
  • Hands on experience with common machine learning frameworks, such as PyTorch
  • Experience in analyzing and collecting data from various sources, and thorough understanding of experimental practices, error analysis, and evaluation approaches
  • Outstanding research track record
  • Experience collaborating in a team environment on research projects
  • Excellent communication skills

The Team:

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.

 

#LI-JS14

Salary : $96,800 - $223,400

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