Research Scientist Intern, FAIR - Text Data Research (PhD)

Meta • Menlo Park, CA • 6h ago

Summary:

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Text Data Research team. The team is committed to building the data foundation for Meta's most advanced Large Language Models and contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible.We are seeking candidates with a research focus in domains such as: natural language understanding and generation, language modeling, pre-training and post-training, low-resource NLP, question answering, machine translation, dialogue, cross-lingual and cross-domain transfer learning, and other related domains.Based in Meta Superintelligence Labs (MSL), our interns have an opportunity to directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.Our team at FAIR 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 - Text Data Research (PhD) Responsibilities:

Advance our understanding of data research, such as how to overcome data walls, how to improve data compute efficiency, and how best to create synthetic data

Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem

Develop novel solutions, implement proto@types, 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 reports and/or publications

Present research outcomes to internal and/or external audiences

Contribute research that can be applied to Meta product development

Minimum Qualifications:

Currently has or is in the process of obtaining a PhD degree in the field of Large Language Models, Natural Language Processing, Machine Learning, Artificial Intelligence, or equivalent

Experience in Python, C++, or other related languages

Proven track record of achieving significant results as demonstrated by publications at leading conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM)

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Language

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

Experience with large-scale data processing using e.g. pyspark

Experience with Pytorch

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 stereo@types, 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@fb.com.

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