Meta (Facebook)

About Meta (Facebook)

Connecting people through innovative technology

Key Highlights

  • Over 2.9 billion monthly active users across platforms
  • Headquartered in Menlo Park, California
  • Valued at over $800 billion
  • Significant investments in Oculus and AR/VR technology

Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...

🎁 Benefits

Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...

🌟 Culture

Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...

Overview

Meta is seeking a Research Scientist Intern for their FAIR Text Data Research team to contribute to the development of advanced Large Language Models. You'll work on data curation and natural language understanding, requiring a strong background in machine learning and NLP.

Job Description

Who you are

You are pursuing a PhD and have a strong research focus in natural language processing (NLP) and machine learning. Your experience includes working on language modeling, data curation, and understanding the intricacies of pre-training and post-training phases of model development. You are familiar with low-resource NLP and have a keen interest in question answering and machine translation. Your collaborative spirit allows you to work effectively with researchers and engineers, contributing to innovative projects at scale.

You have a solid understanding of the challenges involved in organic data curation and synthetic data generation. Your academic background has equipped you with the skills to tackle complex problems in data handling and model training. You are eager to engage with frontier paradigms that redefine the capabilities of AI systems, and you thrive in environments that challenge your analytical and creative thinking.

Desirable

Experience with cross-lingual and cross-domain transfer learning is a plus, as is familiarity with dialogue systems. You are comfortable working with large datasets and have a passion for advancing the field of AI through rigorous research and experimentation. Your ability to communicate complex ideas clearly will help you collaborate effectively with your team.

What you'll do

As a Research Scientist Intern at Meta, you will join the FAIR Text Data Research team, where you will contribute to building the data foundation for advanced Large Language Models. Your role will involve engaging in data curation across all stages of LLM development, from pre-training to post-training, ensuring that the models are trained on high-quality, diverse datasets. You will work on projects that involve organic data curation and synthetic data generation, addressing the challenges of working at trillion-scale.

You will have the opportunity to directly contribute to Meta’s frontier models, such as Llama, and collaborate with a team of researchers and engineers dedicated to pushing the boundaries of what is possible in AI. Your work will include exploring innovative approaches to natural language understanding and generation, and you will be involved in developing methodologies for effective data handling and model training.

What we offer

Meta offers a dynamic internship experience where you will gain hands-on experience in cutting-edge AI research. You will have the chance to work alongside leading experts in the field, contributing to impactful projects that shape the future of technology. The internship lasts between twelve to twenty-four weeks, with various start dates throughout the year, providing flexibility to fit your academic schedule. You will also have access to resources and support that foster your professional growth and development in the AI research domain.

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