Research Engineer (GenAI) Responsibilities:
- Write clean and robust machine learning code
- Engineer, design, implement, and improve machine learning systems and tools for enabling research
- Collaborate effectively within their team to help advance its research goals
- Influence progress of relevant research communities by contributing to publications
Minimum Qualifications:
- 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
- Expertise in deep learning
- Experience using PyTorch or similar deep learning libraries
Preferred Qualifications:
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Co-authored high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, EMNLP, ICLR, CVPR, ICCV, ACL, Interspeech and ICASSP)
- Authored a widely-used open source project in the area of Machine Learning and NLP
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