AI Research Scientist, Multimodal Generation

Meta is seeking an AI Research Scientist to join our Multimodal Generation Research team. We are looking for recognized experts in media (image or video or audio) generation models to work in areas like vision encoders, data filtering/curation for pre and post-training, RL. Seeking a candidate who will have an interest in producing and applying new science/systems/technologies to help us develop media generation models and bringing the latest research to Meta products for connecting billions of users. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

AI Research Scientist, Multimodal Generation Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies
• Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
• Post-train foundation models using techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and Low-Rank Adaptation (LoRA)
• Work towards long-term research/development goals, while identifying intermediate milestones
• Conduct research that enables learning the semantics of data across multiple modalities (audio, images, video, text, and other modalities)
• Prioritize research that can be applied to Meta's product development

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science, Machine Learning, or a relevant technical field
• Practical experience with pre-training, mid-training or SFT data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for Multimodal LLMs
• Direct experience in Generative AI and LLM research
• Programming experience in Python and hands-on experience with frameworks such as PyTorch

Preferred Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. CVPR, NeurIPS, ICCV, ECCV, ACL)
• Experience collaborating in cross-functional teams, including product, engineering, and research

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@fb.com.

$154,000/year to $217,000/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.

Client-provided location(s): Menlo Park, CA

Job ID: a1KDp00000CZKq3MAH

Employment Type: OTHER

Posted: 2026-01-10T19:31:03