AI Research Engineer, PAR Media jobs in United States
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Meta · 8 hours ago

AI Research Engineer, PAR Media

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

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Comp. & Benefits

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

Qualification

LLM/NLP experienceComputer visionModel trainingPython programmingMultimodal modelsData curationMedia generationInfluence strategyAdvanced degreesTechnical leadershipCollaborationHands-on experience

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models
Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams
Skilled in model training, data, or inference & efficiency for image, video, and/or related multimodal models
Proficiency in media generation, understanding, and/or grounding
Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark

Preferred

Experience working on frontier-quality/state-of-the-art Large Media Models
Masters degree or PhD in Computer Science, AI/ML, or a relevant technical field
Demonstrated significant industry influence in the field of AI and/or published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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