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Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Meta

Seattle, WA

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JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Benchmarking, C++ Programming Language, Computer Vision, Conferences, Cross-Functional, Deep Learning, Fellowship, Machine Learning, Machine Translation, Mentoring, Metrics, Modeling Languages, Natural Language Processing (NLP), Open Source, Patents, Problem Solving Skills, Product Development, Prototyping, Publications, Python Programming/Scripting Language, Reinforcement Learning, Scientific Research, TACL (Tandem Advanced Command Language)
LOCATION
Seattle, WA
POSTED
30+ days ago
**Summary:** Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com. **Required Skills:** Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities: 1. Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities) 2. Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem 3. Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions 4. Draft and polish research reports and/or publications 5. Present research outcomes to internal and/or external audiences 6. Contribute research that can be applied to Meta product development **Minimum Qualifications:** Minimum Qualifications: 7. Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent 8. Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent 9. Experience in Python, C++, or other related languages 10. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP) 12. Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR) 14. Experience advancing AI techniques in Computer Vision and/or Machine Learning 15. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources 16. Experience in utilizing theoretical and empirical research to solve problems 17. Experience working and communicating cross functionally in a team environment 18. Intent to return to degree-program after the completion of the internship/co-op **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** 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, 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta 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@meta.com.

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Meta

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