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Meta is hiring: Research Scientist Intern, Audio, Machine Learning and Computer

Meta, Boston, MA, United States, 02298

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Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence.

In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments. Meta Reality Labs Research is looking for experienced interns who are passionate about groundbreaking research in audio signal processing, machine learning, and audio-visual learning to solve important audio-driven problems for AR/VR applications.

Our internships are twelve (12) to twenty-four (24) weeks long with various start dates throughout the year.

Responsibilities

  1. Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision.
  2. Collaborate with researchers and engineers across diverse disciplines.
  3. Design and implementation of novel algorithms to solve audio research problems.
  4. Experimental design, implementation, and execution to evaluate new audio technologies.
  5. Communication of research agenda, progress, and results.

Minimum Qualifications

  1. 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 or a related STEM field.
  2. 3+ years experience with Python, Matlab, or similar.
  3. 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
  4. 2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing.
  5. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

  1. Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github).
  2. Strong background in statistical modeling techniques and/or signal processing.
  3. 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.
  4. Experience working and communicating cross-functionally in a team environment.
  5. Intent to return to a degree program after the completion of the internship/co-op.

US$7,800/month to US$11,293/month + benefits. Individual compensation is determined by skills, qualifications, experience, and location. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity and Affirmative Action: Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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. 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 support, please reach out to accommodations-ext@meta.com.

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