Visiting Researcher, Universal Speech Translation (University Grad)
Meta

Job Info

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Meta is seeking a Visiting Researcher to join the AI team. Translation technologies break language barriers and make content accessible to people in their own language. In addition, audio and video are increasingly popular input modalities used to disseminate information. Speech translation enables live communication between people speaking different languages and enables understanding of multimedia input in different languages. The Universal Speech Translation team supports research in speech-to-speech translation. In this role, you will work closely with other scientists and engineers on the team to push the frontiers of speech-to-speech translation modeling.

Visiting Researcher, Universal Speech Translation (University Grad) Responsibilities:

• Collaborate with your supervisor and other AI Research Scientists and engineers to discuss, develop and implement the research agenda
• Design and implement experiments to test research ideas on speech synthesis and/or speech generation
• Contribute to high-quality research papers and publish at top conferences

Minimum Qualifications:

• MS degree in Computer Science
• 2+ years relevant professional experience with deep learning models in Speech and NLP
• Experience solving analytical problems using quantitative approaches
• Research and/or work experience in the fields of machine learning, deep learning, natural language processing, speech processing, and/or computer vision
• Experience with PyTorch or equivalent
• Knowledge in C/C++, Python, Java or other related language
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• Currently has or is in the process of obtaining PhD in Computer Science
• Research and software engineer experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
• Research experience with Automatic Speech Recognition, Machine Translation, and Text-to-Speech technologies
• First-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, ICML, ACL, NAACL, ICASSP, INTERSPEECH, or similar)

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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