Research Scientist Intern, Integrity AI (PhD)

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Research Scientist Intern, Integrity AI (PhD)

Research Scientist Intern, Integrity AI (PhD)

Research

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Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join the Entity and Actor Integrity team within Facebook Integrity. We are the applied ML team behind enforcement on complex entities and the actors who run them: groups, pages, events and creators.

Our models decide when a group spreading severe harm should be taken down, when a creator is faking engagement, when a page is impersonating someone, and when an enforcement should be reversed on appeal, across a platform used by billions of people.

Our work has moved from per-post classifiers to LLM-based systems that reason over an entire entity (its content, members, admins and history) and apply written policy the way an expert would. The open research problems are about making that judgment efficient, reliable and continually improving:

distilling large reasoning models into small, fast models and pushing the boundaries of decision-style models like Jev

keeping one shared multi-harm model improving without regressing other harms

learning from scarce expert labels

calibrating confidence so the system knows when to defer

measuring quality when the model is better than most human reviewers

Interns own one focused research problem end to end, from framing to experiments to publication, under the guidance of our research scientists and machine learning engineers.

Research Scientist Intern, Integrity AI (PhD) Responsibilities

• Perform research to advance the science and technology of trustworthy, efficient AI systems for integrity and safety.
• Develop novel methods for training, distilling and continually updating large language and multimodal models that make policy decisions about entities and actors.
• Design rigorous experiments and evaluations using expert human labels, LLM judges and offline replays, including methods that stay valid when labels are scarce or expensive.
• Analyze and improve the efficiency, calibration, robustness and reliability of models used in production enforcement.
• Collaborate with researchers, engineers and policy partners, communicating research plans, progress and results.
• Publish research results and contribute to research that can be applied to Meta product development.

Minimum Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Statistics, or relevant technical field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python
• Experience with deep learning frameworks such as PyTorch
• Research experience in machine learning, including training or fine-tuning deep learning models and designing experiments to evaluate them
• Familiarity with large language models and AI-native development (Claude, Codex etc)

Preferred Qualifications

• Intent to return to the degree program after the completion of the internship/co-op
• Proven track record of research achievements as demonstrated by publications at leading venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM, CoLLAs, KDD, WWW or ICWSM
• Research or project experience in one or more of: continual or lifelong learning, multi-task learning and model merging, active learning, knowledge distillation, LLM post-training (SFT, preference optimization, RL), uncertainty estimation and calibration, learning from AI feedback or LLM judges, multimodal modeling, or sequence/graph modeling of user behavior
• Experience applying ML to trust and safety, content moderation, fraud or abuse detection
• Experience with large-scale or parameter-efficient training (e.g., LoRA, distributed training)
• Demonstrated software development experience via internships, work experience, coding competitions, or widely used open-source contributions
• Experience working and communicating cross-functionally in a fast-paced environment, with the ability to frame real-world problems as rigorous ML problems and drive iterations from clear analysis

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $7,650/month to $12,667/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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