Research Scientist
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. The role requires expert knowledge in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.Research Scientist Responsibilities
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
- Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Work with a large and globally distributed team.
- Contribute to publications and open-sourcing efforts.
- Help identify long-term ambitious research goals as well as intermediate milestones.
- Prioritize research that can be applied to Meta's product development.
- Mentor other team members. Play a significant role in healthy cross-functional collaboration.
- Experience as an industry, faculty, or government researcher.
- Has accredited publications in the machine learning field.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- PhD in AI, computer science, data science, or related technical fields.
- 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.
- Direct experience in generative AI and LLM research, or relevant technical ML fields.
- 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Experience in developing and debugging in Python.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Categories:
Data Science Jobs
Research Jobs
Tags: Computer Science Engineering Generative AI ICLR ICML LLMs Machine Learning NeurIPS NLP PhD Physics Python Reinforcement Learning Research VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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