Research Scientist Intern, Large Language Model

il y a 5 jours


Paris, France Meta Temps plein

**Research Scientist Intern, Large Language Model Inference (PhD) Responsibilities**:

- 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.

**Minimum Qualifications**:

- 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.

**Preferred Qualifications**:

- 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.



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