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.
AI Research Engineer, PAR Media 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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$88.46/hour to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
