Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Responsibilities

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python, C++, C, Java or other related language
• Experience with deep learning frameworks such as Pytorch or Tensorflow
• Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications

• Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
• Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
• Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
• Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
• Experience working and communicating cross functionally in a team environment
• Experience with training deep neural networks for key NLP tasks
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Individual Compensation

$7,650/month to $12,134/month + benefits