Skip to main content

Research Scientist Intern - Speech & Audio (PhD)

Apply to Job
Research Scientist Intern - Speech & Audio (PhD)
Apply to Job
Location pin icon
Paris, France
Apply to Job
Meta is seeking a Research Intern to join the AI Research for Speech and Audio Team as part of the FAIR team at Meta AI. The team focuses on long-term foundational research in AI. Our research spans multiple areas across audio and machine learning, including deep learning/neural networks, self-supervised learning for audio and speech representations, language modeling, generative models, audio understanding, and high quality audio synthesis. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics and applied mathematics particularly including areas such as deep learning, speech and audio processing, and computer vision.
The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent.
This is an internship opportunity with multiple start dates from May to September. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern - Speech & Audio (PhD) Responsibilities
  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel and accurate speech/audio modeling and generation algorithms, leveraging deep learning and machine learning on big data resources.
  • Contribute research that can be applied to Facebook product development. - Analyze and improve efficiency, scalability, and stability of various deployed systems.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.
  • Present their findings in a high quality research paper that can be submitted to top-tier journals and conferences.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a Ph.D. degree (or equivalent)
  • Research and/or work experience in machine learning, deep learning, speech and audio processing and/or Natural Language Processing.
  • Experience developing ML components and pipeline in Python and PyTorch (or other deep learning software library) including: data preprocessing, model development, training and evaluation of novel algorithms, software integration and writing reusable modules.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work - authorization during employment
Preferred Qualifications
  • Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Proven track record of first-authored publications at workshops or conferences at audio conferences like ICASSP, Interspeech, ISMIR, or NLP venues like ACL, EMNLP, NAACL, or generalist conferences such as AAAI, ICML, NeurIPS, ICLR or similar.
  • Ability to communicate complex research in a clear, precise, and actionable manner.
  • A strong interest in theoretical and empirical research and for answering hard questions with research
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Experienced with the development of enterprise-level AI, machine learning and deep learning systems, involving big data management and GPU compute
  • Experienced with training deep neural networks for NLP or speech and audio tasks.
Locations
About Meta
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.
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@fb.com.
Related Job Openings
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. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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, you may contact us at accommodations-ext@fb.com.
© Meta 2023