Research Engineer, Computer Vision - Creators

Meta • Menlo Park, CA

298d • $85 - $251,000

About The Position

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.

Requirements

• 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.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 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.

Nice To Haves

• Master's degree or PhD in Computer Science, Computer Engineering, or relevant technical field.
• 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.

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

Benefits

• $85.10/hour to $251,000/year + bonus + equity + benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services
• Education Level: Bachelor's degree