研究科学家实习生，诚信AI

Meta（Meta Platforms）岗位：Research Scientist Intern, Integrity (Trust and Safety) 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.

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

Research experience in machine learning, including training or fine-tuning deep learning models and designing experiments to evaluate them

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 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

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.

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.

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.

Take the first step toward a rewarding career at Meta.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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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.