Meta AR/VR Job | Research Scientist Intern, Large Language Model Inference (PhD) | Quest
Job（岗位）: Research Scientist Intern, Large Language Model Inference (PhD) | Quest
Type（岗位类型）: Machine Learning
Citys（岗位城市）: Paris, France
Date（发布日期）: 2023-5-27
Summary（岗位介绍）
Meta AI, a world-class research lab, is seeking Research Interns to join our research teams to work on challenging problems that would require strong research and engineering skills to achieve a deep understanding of the problems, develop innovative approaches, and scale up with massive data and compute.
Our efforts are to push the bar in the following research directions: Computer Vision, Natural Language Processing, Speech Recognition, Reinforcement Learning & Reasoning, Core Machine Learning, AI for Science, AI for Math, and Game AI.
We are proposing Summer, Fall, and Winter start dates. Internships will be awarded on a rolling basis and candidates are encouraged to apply early.
To learn more about our research, visit https://research.facebook.com.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining a PhD degree in the field of Machine Learning, Artificial Intelligence, Reinforcement Learning, Game Theory, Optimization or similar.
Experience in Python.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Description（岗位职责）
Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem.
Develop novel solutions, implement prototypes and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions.
Communicate and discuss with team members about various aspects of the project. This includes answering questions, addressing concerns, improving solutions, etc.
Draft and polish research publications.
Present research outcomes to internal and (possibly) external audiences.
Additional Requirements（额外要求）
Experience with ML areas such as language modeling and Transformer
Experience with formal languages such as Lean or Coq
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, or ICLR.
Extensive experience solving analytical problems using quantitative approaches.
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
Experience communicating complex research in a clear, precise, and actionable manner.
Experience building large-scale machine learning systems and training with large datasets.
Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Intent to return to degree-program after the completion of the internship/co-op.
