[Remote] Research Scientist Intern, Monetization Generative AI - LLM (PhD)
Note: The job is a remote job and is open to candidates in USA. Meta is a company that builds technologies to help people connect and grow businesses. They are seeking a Research Scientist Intern to perform research in advancing intelligent machines, developing novel NLP algorithms, and collaborating with researchers to contribute to Meta's product development.
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
Skills
- 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
- 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
- Intent to return to degree program after the completion of the internship/co-op
Benefits
- Benefits
Company Overview