Language AI Research Scientist
il y a 4 semaines
Meta is in search of a Research Scientist to contribute to our Llama Large Language Model (LLM) Research team. We are looking for acknowledged specialists in Natural Language Processing (NLP) or reinforcement learning, with expertise in areas such as LLM alignment, multilingual modeling, code generation, responsible AI, and model controllability. The ideal candidate will possess a passion for generating and applying innovative science to assist in the development and responsible deployment of large language models.
Responsibilities of the Language AI Research Scientist:- Lead, collaborate, and execute research initiatives that advance the state of the art in large language model research.
- Contribute directly to experiments, which includes designing experimental frameworks, writing reusable code, conducting evaluations, and organizing findings.
- Engage with a large and globally distributed team.
- Contribute to scholarly publications and open-source projects.
- Assist in identifying long-term ambitious research objectives along with intermediate milestones.
- Focus on research that can be integrated into Meta's product development.
- Mentor fellow team members and play a crucial role in fostering healthy cross-functional collaboration.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- A PhD in AI, computer science, or a related technical discipline.
- Experience in an industry, academic, or government research position.
- Publications in the field of machine learning.
- Proficiency in software development and executing complex experiments involving large AI models and datasets.
- Must secure work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Direct experience in generative AI and LLM research.
- At least 2 years of work experience in a university, industry, or government lab, primarily focused on AI research.
- Experience as a first author on publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Proficiency in developing and debugging using Python.
Meta develops technologies that facilitate connections, foster communities, and enhance business growth. Since the launch of Facebook in 2004, we have transformed the way individuals connect. Applications like Messenger, Instagram, and WhatsApp have empowered billions globally. Currently, Meta is advancing beyond traditional 2D screens towards immersive experiences such as augmented and virtual reality, shaping the next evolution in social technology. Individuals who choose to build their careers with Meta are helping to create a future that transcends the possibilities of digital connection today—surpassing the limitations of screens, distance, and even the laws of physics. Compensation is determined by skills, qualifications, experience, and location. The compensation details provided reflect the base hourly rate, monthly rate, or annual salary only, excluding bonuses, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers a range of benefits. Learn more about benefits at Meta.
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