多模态行为AI研究科学家实习生

Meta（Meta Platforms）岗位：Research Scientist Intern, Multimodal Behavioral AI (PhD) Responsibilities

Using data from wearable devices, develop novel state-of-the-art AI algorithms to infer human behavior patterns that inform attention, cognition or emotion.

Examples include longitudinal gaze behaviors, physiological sensing, gestures, or vocal cues.

Develop data collection strategies, benchmarks, and metrics to validate and improve efficiency, scalability, and stability of these models.

Collaborate with researchers and engineers across diverse disciplines through all stages of project development.

Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day.

Regular communication of research agenda, progress and results.

Publish research results in top-tier journals and at leading international conferences.

Currently has or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, Robotics, Neuroscience, 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 with optimization of machine learning algorithms with limited data and on constrained hardware

Proven track record of achieving results as demonstrated by grants, fellowships, patents, and/or first-authored publications at workshops or top AI conferences such as CVPR, NeurIPS, CHI, ICLR, ACL,

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 PhD in Computer Science, Machine Learning, Robotics, Neuroscience, or a related field.

Programming experience in Python and with deep learning frameworks like PyTorch.

Deep learning experience with modern generative AI frameworks.