Meta is seeking a Research Engineer to join their Large Language Model (LLM) Research team, focusing on advancing state-of-the-art language models like their recently open-sourced Llama 2. This role combines cutting-edge research with practical engineering implementation in the rapidly evolving field of generative AI.
The position requires a strong background in machine learning, particularly in areas such as language model evaluation, data processing for pre-training and fine-tuning, responsible LLMs, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and multilingual/multimodal modeling. The successful candidate will be part of a globally distributed team working on pushing the boundaries of what's possible with large language models.
The role offers a competitive compensation package ranging from $85,100 to $251,000 annually, plus bonus and equity opportunities. Working at Meta provides the unique opportunity to impact billions of users through their various platforms including Facebook, Instagram, WhatsApp, and their emerging AR/VR technologies.
Key responsibilities include designing and implementing advanced ML infrastructure, conducting research experiments, optimizing models for modern parallel computing environments, and contributing to the academic community through publications and open-source projects. The ideal candidate should have a strong technical foundation in computer science or related fields, demonstrated experience with machine learning at scale, and proficiency in Python and ML frameworks like PyTorch.
Meta's commitment to advancing AI technology while maintaining responsible development practices makes this an exciting opportunity for those interested in being at the forefront of language model research and development. The position offers the chance to work with state-of-the-art technology and contribute to projects that will shape the future of AI and social technology.