Postdoctoral Researcher, Code Generation
Il y a 2 mois
Postdoctoral Researcher, Code Generation (PhD) Responsibilities
- Perform research to tackle unsolved real-world problems and push the state of the art in code generation with LLMs, includng long-context input and long-form output.
- Independently design and implement algorithms, train state of the art models on large data, and evaluate their performance.
- Write publications and revise them based on the feedback from colleagues, mentor(s) and reviewers.
Minimum Qualifications
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Machine Learning, Natural Languag Processing, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Research experience in one or more of these areas: LLMs, code analysis and generation, machine translation, machine learning, deep learning, or related fields.
- Experience working with machine learning libraries like Pytorch, Tensorflow, etc.
- Knowledge of deep learning and neural networks.
- Experience with scripting languages such as Python and shell scripts.
- 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 developing scalable machine learning models in at least one of the following areas: code analysis and generation with LLMs, unsupervised/semi-supervised training, or relevant areas.
- Experience with large scale model training, implementing algorithms, and evaluating LLMs.
- Proven track record of achieving significant results as demonstrated by publications at leading conferences such as NeurIPS, ICLR, ACL, EMNLP, or similar.
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