设备端AI模型优化研究科学家实习生

Meta（Meta Platforms）岗位：Research Scientist Intern, On-Device AI Model Optimization (PhD) Responsibilities

Define, plan, and execute cutting-edge deep learning research to advance AR/VR experiences.

Develop novel deep learning techniques to achieve state-of-the-art accuracy for large language models (LLMs), multimodal models, and reasoning models within on-device resource and real-time execution constraints.

Collaborate with research scientists and software engineers to develop model optimization techniques, such as quantization, compression, and pruning, for vision, speech, user interfaces, and other applications.

Partner with software and hardware engineers to develop trade-off curves between model accuracy and runtime requirements, including latency and energy consumption.

Clearly communicate experimental results and recommendations to the team and cross-functional partners.

Currently holds or is pursuing a PhD in Computer Science, Electrical Engineering, or a related field

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

A track record of first-author publications at top-tier machine learning or AI conferences, such as NeurIPS, ICML, ICLR, ACL, AAAI, or similar venues

Experience training and running inference with LLMs, multimodal models, or reasoning models

Experience with one or more model optimization techniques, such as quantization, pruning, distillation, parameter-efficient fine-tuning (PEFT), or speculative decoding, for cloud or on-device AI deployment

Demonstrated research and software engineering experience through internships, coding competitions, or contributions to open-source repositories, such as those hosted on GitHub

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.

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You may view our Equal Employment Opportunity notice here.

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Take the first step toward a rewarding career at Meta.

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Currently holds or is pursuing a PhD in Computer Science, Electrical Engineering, or a related field.

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Experience developing machine learning solutions.