音频、机器学习与计算机视觉研究科学家实习生

Meta（Meta Platforms）岗位：Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD) Responsibilities

Research, model, design, develop, and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision.

Collaborate with researchers and engineers across diverse disciplines.

Design and implementation of novel algorithms to solve audio research problems.

Experimental design, implementation, and execution to evaluate new audio technologies.

Collaboration with other researchers across audio and acoustic engineering disciplines.

Communication of research agenda, progress, and results.

Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Math, Acoustics Engineering, Biomedical Engineering, or a related STEM field

3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc

2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing

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

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)

Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc

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.

Apply now APPLY NOW Find your role Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you. View jobs

Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.

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 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.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

©2026 Meta.

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Math, Acoustics Engineering, Biomedical Engineering, or a related STEM field.