Research Scientist Intern, AI Research - Speech & Audio (PhD)

Meta

Posted 7 days ago

Internship

Menlo Park, California

In Person

Smart Summary

Responsibilities

The intern will conduct research to advance intelligent machine technology and develop novel speech algorithms using deep learning. They will also collaborate with team members to integrate these models into large-scale production systems.

Qualifications

You are currently pursuing a PhD in Computer Science, AI, or a related field and have research experience in machine learning, deep learning, and speech technology. You are proficient in Python and deep learning frameworks like PyTorch or TensorFlow, with a proven track record of research contributions.

Must Have Skills for ATS

machine learning

deep learning

speech technology

Python

PyTorch

Tensorflow

LLM

speech recognition

speech translation

speech synthesis

speaker diarization

acoustic event recognition

Job Description

Meta AI is currently seeking Research Scientist interns. Our team creates spoken language technology to make it faster and easier for people to build community and connect with others around the world. We conduct product-motivated research in ML/AI and design, develop and deploy state-of-the-art algorithms to the rest of Meta. We work in all aspects of AI for speech and audio processing, with a primary focus on speech with large language models (LLM) to power various speech-LLM-based products. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

Responsibilities
  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources.
  • Contribute research that can be applied to Meta product development.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.
  • Collaborate with team members from prototyping to production.


Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field
  • Research and/or work experience in machine learning, deep learning, and speech technology
  • Experience with training deep neural networks for key speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc
  • Experience in Python
  • Experience in deep learning frameworks (PyTorch, Tensorflow, etc)
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment


Preferred Qualifications
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ACL, ICASSP or similar
  • Experience working on speech LLMs
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to a degree-program after the completion of the internship/co-op


$7,650/month to $12,667/month + benefits

Meta

Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies 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 and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com
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