Multi-Modal AI Research Scientist – Human Understanding

Meta; Pittsburgh, Burlingame (Allegheny County, CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Meta seeks a Research Scientist to advance multi-modal AI technologies for human understanding and synthesis. You will develop Vision-Language Models (VLMs) and video foundation models that enable machines to perceive, interpret, and generate rich representations of human behavior and interaction.

Requirements include a Bachelor's degree in a technical field with 2+ years in multi-modal AI, PyTorch experience, and a track record of research contributions at major venues.

Qualifications

• Candidate has a BS or higher in a technical field before joining Meta.
• 2+ years in multi-modal AI research with VLMs, video or human-centric AI.
• Experience training large-scale neural networks and transformers.
• Proven ability to design experiments and analyze multi-modal benchmarks.
• Proficient in Python for research or production code.
• Publication track record in CVPR/ICCV/NeurIPS is valued.

Responsibilities

• Develop Vision-Language Models and video foundation models for understanding and generation.
• Advance multi-modal AI research spanning vision, language, and video.
• Implement and train large-scale neural networks using PyTorch.
• Design experiments to evaluate model performance across modalities.
• Contribute to publications and disseminate research findings.

Skills

Multimodal AI

Vision-Language Models

Video Understanding

Transformers

Python

Research Experience

Scientific Publications

Education

Bachelor's degree in Computer Science / Computer Engineering or related field

Tools

PyTorch

Job description

Meta seeks a Research Scientist to advance multi-modal AI technologies for human understanding and synthesis. You will develop Vision-Language Models (VLMs) and video foundation models that enable machines to perceive, interpret, and generate rich representations of human behavior and interaction.

Requirements include a Bachelor's degree in a technical field with 2+ years in multi-modal AI, PyTorch experience, and a track record of research contributions at major venues.