Research Scientist Intern; Monetization GenAI PhD

Research Scientist Intern (Monetization GenAI) - 2026 Start (PhD)

Location:

San Jose

Employment Type:

Intern

Job Code: A23928A

• Work on research in advancing technology in large language model or multimodality generative model architectures
• Research, implement and evaluate novel machine learning algorithms on generative models
• Collaborate with applied machine learning teams and infrastructure teams to ship new generative models into ad production

• Currently pursuing a PhD in computer science, machine learning, or similar fields
• Hands‑on experience of developing multimodality foundation models and work or internship experience in an AI research organization is a plus
• Strong publications record in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, etc.)

Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. The hourly rate range for this position in the selected city is $60- $60.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.