Research Engineer, Computer Vision - Creators

Meta is seeking AI Specialists with expertise in the Computer Vision and/or Multimodal domain to join our applied research team in the Creators pillar.

We push boundaries across multiple modalities (e.g., video, audio, image, behavior understanding). You will contribute to advancing state-of-the-art machine learning research and apply it to drive product innovation across our Family of Apps.

Responsibilities:

Research Engineer, Computer Vision - Creators Responsibilities:

Train models for image/video/audio/behavior understanding.

Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences.

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, text, audio and other modalities).

Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches.

Apply in-depth knowledge of how the machine learning system interacts with the other systems around it.

Drive large efforts across multiple teams and assist in goal setting related to project impact.

Develop algorithms based on state-of-the-art machine learning and neural network methodologies.

Mentor other AI Engineers and improve the quality of AI work in the broader team.

Qualification and experience:

Minimum Qualifications:

4+ years of industry experience in Generative AI, Computer Vision, or related fields.

Experience training Computer Vision or related AI/ML models.

Experience leading large scale technical projects in AI or ML.

Programming experience in Python and hands-on experience with frameworks such as PyTorch.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred:

Preferred Qualifications:

First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).

Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward.

Experience working on product or product research teams.

Experience working and communicating cross functionally in a team environment.