AI Research Engineer, Media - Meta Superintelligence Labs

Job Description

Meta is seeking AI Researchers to join the Product and Applied Research Media group within Meta Superintelligence Labs. The role involves driving innovation in image and video understanding, generation, and narrative creation, while collaborating with AI product teams to translate research into impactful real-world experiences.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
1+ year of industry research experience in LLM/NLP, computer vision, or related AI/ML models
Skilled in model training, data, or inference & efficiency for image, video, and/or related multimodal models
Proficient in media generation, understanding, and/or grounding
Experience owning and/or driving complex technical projects from end-to-end
Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark

Responsibilities

Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development

Benefits

Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

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