Apply on Employer Site

Meta · 1 day ago

AI Research Scientist, Multimodal Generation

United States

Full-time

Remote

Senior Level

$154K/yr - $217K/yr

Meta is seeking an AI Research Scientist to join our Multimodal Generation Research team. The role involves developing algorithms based on machine learning methodologies and conducting research to enhance understanding of data across multiple modalities, ultimately contributing to Meta's product development.

Computer Software

Comp. & Benefits

Responsibilities

Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data

Post-train foundation models using techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and Low-Rank Adaptation (LoRA)

Work towards long-term research/development goals, while identifying intermediate milestones

Conduct research that enables learning the semantics of data across multiple modalities (audio, images, video, text, and other modalities)

Prioritize research that can be applied to Meta's product development

Qualification

Generative AILarge foundational modelsPythonPyTorchData curationResearch publicationsCross-functional collaboration

Required

Practical experience with pre-training, mid-training or SFT data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for Multimodal LLMs

Direct experience in Generative AI and LLM research

Programming experience in Python and hands-on experience with frameworks such as PyTorch