Lead Multimodal AI Research Scientist

Meta; Menlo Park (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Meta is seeking AI research scientists to advance multimodal large language models and related data pipelines. You will work across pre-training, mid-training, and post-training stages, tackling challenges in image, video, audio, and 3D modalities.

You will lead major technical initiatives with cross-functional teams, publish influential research, and contribute to visual code generation and data curation at scale within the FAIR/MSL ecosystem.

Qualifications

• PhD or equivalent research credentials in Computer Science or related field.
• 2+ years industry research experience with large language or multimodal models.
• Experience leading major technical initiatives with cross-functional impact.
• Proficiency in Python and PyTorch; experience with Spark or Ray.
• First-author publications in leading peer-reviewed conferences (ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV).

Responsibilities

• Contribute to Meta's frontier multimodal models across pre-training, mid-training and post-training stages.
• Lead technical initiatives with cross-functional impact and influence strategy across teams.
• Collaborate with scientists and engineers across Meta's FAIR and MSL groups.
• Advance visual coding capabilities and data curation at scale for training and evaluation.

Skills

Research leadership

Multimodal AI/LLM experience

Python programming

Cross-functional collaboration

Publications in top conferences

Data curation at scale

Experimentation and analysis

Systems understanding of large models

Education

PhD in Computer Science or related field

Bachelor's degree in CS/CE or related field

Tools

PyTorch

Spark

Ray

DataFlow

Hive

Parquet

Iceberg

Job description

Meta is seeking AI research scientists to advance multimodal large language models and related data pipelines. You will work across pre-training, mid-training, and post-training stages, tackling challenges in image, video, audio, and 3D modalities.

You will lead major technical initiatives with cross-functional teams, publish influential research, and contribute to visual code generation and data curation at scale within the FAIR/MSL ecosystem.