We are seeking an Applied Research Scientist to join our Content Understanding team within Modern Recommendation Systems (MRS). The team is pushing the frontiers of multimodal perception, addressing fundamental research challenges, and delivering high-performing, scalable models from prototype to production. As a Research Scientist, you will help us develop innovative models and algorithms and apply them to large-scale production Computer Vision tasks.

Responsibilities include leading and collaborating on research that advances the state of the art, training production-quality single- and multi-modal content understanding models on billions of data samples, integrating the models into downstream applications, and working with and creating large datasets and benchmarks.

Applied Research Scientist, Computer Vision - MRS Responsibilities

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Conduct research that enables learning the semantics of data (images, video, and their relationship to text, audio, speech and other modalities).
• Carefully evaluate the performance of proposed models.
• Collaborate on bringing the models from prototyping to production within a globally-based team.
• Initiate and lead research projects within a team and collaborate with cross-functional partners.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• A PhD degree in AI, computer science, data science, or related technical fields.
• Research background in Computer Vision, Deep Learning, Machine Learning, or related field(s).
• 2+ years of Industry or academic research experience on cutting edge computer vision technologies
• Experience in developing and debugging in Python or similar programming languages.
• Experience in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in theoretical and empirical research and in addressing research problems.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at conferences such as CVPR, ECCV, ICCV, ICML, NeurIPS, SIGGRAPH, or similar.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross functionally in a team environment.
• Experience in leading, planning and coordinating long-term research-to-production projects.

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$143,000/year to $208,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.