Research Scientist - FAIR
Pittsburgh, PA | Menlo Park, CA | Seattle, WA | New York City
- Perform research to push the scientific and technological frontiers of multimodal language modeling.
- Invent/improve novel data-driven paradigms for multimodal generation.
- Enable reasoning with multimodal understanding and generation systems.
- Develop the next generation of platforms for AI & multimodal research.
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Computer Vision, Speech, Multimodality, Natural Language Processing, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience in deep learning frameworks (such as PyTorch, TensorFlow), C, C++, Python.
- Experience in AI frameworks like Hugging Face or other systems.
- Experience in training and use of language models and Transformers.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences (NeurIPS, ICML, ICLR), Computer Vision (CVPR, ICCV), Speech (Interspeech, ICASSP) and NLP (ACL, NAACL, EMNLP).
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience building systems based on machine learning and/or deep learning methods.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
- Research experience in machine learning, representation learning, optimization, statistics, applied mathematics, or data science.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Computer Vision Deep Learning EMNLP Engineering GitHub ICLR ICML Machine Learning Mathematics NeurIPS NLP Open Source PhD Physics Python PyTorch Research Statistics TensorFlow Transformers VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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