Research Scientist Intern, Language & Multimodal Foundations
Paris, France
Our teams are looking for candidates with expertise such as: machine translation, natural language understanding and generation, language modeling, LLM pretraining, dialogue, code generation, code optimization, compilers, planning, efficient decoding, non-autoregressive methods, static analysis.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Language & Multimodal Foundations Responsibilities
- Perform research that enables learning the semantics of data (specifically text, code)
- Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
- 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.
- Draft and polish research publications.
- Present research outcomes to internal and/or external audiences.
- Contribute research that can be applied to Meta product development.
- Currently has or is in the process of obtaining a Masters degree in the field of Natural Language Processing, Machine Learning, Artificial Intelligence, or similar or relevant technical field.
- Research and/or work experience in Natural Language Processing.
- Research and/or work experience in Machine Learning or Deep Learning.
- Experience in Python, C++, or other related languages.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Intent to return to degree program after the completion of the internship/co-op.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences (ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, ACM).
- Experience advancing AI techniques, including contributions to open source libraries and frameworks.
- Experience advancing AI techniques in NLP, Computer Vision, Speech, and/or Machine Learning.
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
- Experience in utilizing theoretical and empirical research to solve problems.
- Experience working and communicating cross functionally in a team environment.
Tags: Autoregressive models Computer Vision Deep Learning EMNLP ICLR ICML LLMs Machine Learning NeurIPS NLP Open Source Physics Python Reinforcement Learning Research VR
Perks/benefits: Career development Conferences Flex vacation Startup environment
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