AI Research Engineer, PAR Media

Meta

$130K — $180K *
Media
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
  • 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models.
  • Proven record as a technical lead influencing cross-functional initiatives.
  • Hands-on experience with model training, data, or inference for multimodal models.
  • Programming proficiency in Python; experience with frameworks like PyTorch or Spark.

Responsibilities

  • Contribute to training next-generation multimodal foundation models for enhanced understanding and generation.
  • Optimize and scale data pipelines for multimodal large language models (LLMs).
  • Lead and collaborate on cutting-edge research in multimodal reasoning and generation.
  • Translate research innovations into practical applications for Meta's products.
  • Engage in creative data sourcing and ensure high-quality data curation and handling.

Benefits

  • Opportunity to work at the forefront of AI-driven media experiences.
  • Collaboration with leading experts in a cutting-edge research environment.
  • Engagement in projects that impact billions of users worldwide.
  • Potential for career growth in one of the industry’s most innovative companies.
Full Job Description
We are seeking AI Researchers to join the Product and Applied Research (PAR) Media group within Meta Superintelligence Labs (MSL). As a member of the PAR Media group, you will drive innovation in image and video understanding, generation, and narrative creation at an unprecedented scale. We own the research, development and deployment of cutting edge multimodal models across Meta AI, FoA, and the entire Meta creator and developer ecosystem. Our work directly powers product roadmaps with flexible, state-of-the-art solutions designed to lead, not follow. We partner closely with AI product teams across Meta to translate our research into impactful, real-world experiences. This means we're not just building technology...we're building the future of how people create, communicate, and connect. If you're passionate about advancing the future of AI-driven media experiences and eager to make a tangible impact on billions of users, we invite you to join us on this journey.

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

Minimum Qualifications
• 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 Qualifications
• 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)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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