Research Scientist Intern, Voice Modeling Team (PhD) London

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. We are looking for Research Scientist Interns to join the Meta AI Speech team in London. Our team creates spoken language technologies 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 on all aspects of AI for speech and audio processing, including speech recognition, speech synthesis, and speech‑text foundation models. Our work is largely focused on the areas of voice interfaces, including speech technologies for Ray‑Ban | Meta Ray‑Ban smart glasses, Quest 3 mixed‑reality headsets, Augmented Reality, the Metaverse, and understanding video on Facebook and Instagram, including transcription, translation, and content understanding. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large‑scale production speech tasks. Our internships are twelve (12) to twenty‑four (24) weeks long 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.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.
• Collaborate with researchers and cross‑functional partners including communicating research plans, progress, and results.
• Publish research results and contribute to research that can be applied to Meta product development.

Minimum Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, or relevant technical field.
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience in C/C++ and Python.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Research and/or work experience in machine learning, deep learning, and/or speech technology.

Preferred Qualifications

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first‑authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, CVPR, ICML, ICASSP, Interspeech or similar.
• Experience working with other modalities such as vision and text understanding is a plus.
• Experienced with training deep neural networks for key Speech tasks such as speech recognition, speech synthesis, speech translation, speaker diarization, sentiment analysis, acoustic event recognition, scene understanding, wake word, etc.
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Intent to return to degree program after the completion of the internship/co‑op.
• A strong interest in theoretical and empirical research and for answering hard questions with research.
• Interpersonal experience: cross‑group and cross‑culture collaboration.
• Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed.