Lead Computer Vision Engineer - Synthetic Data for AR/VR

Meta

Burlingame (CA)

Ibrido

USD 180.000 - 280.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Meta Reality Labs seeks a lead computer vision engineer in Burlingame, CA to drive synthetic data generation and simulation for AR/VR products, including the Quest line. You will collaborate with software, ML, simulation, and AI teams to develop image synthesis techniques and ML models for Meta AR/VR devices.

The role emphasizes hands-on development with deep generative models, computer graphics, and physics-based simulation, plus technical leadership across CV/ML solutions for AR/VR system

Competenze

  • Proficiency in computer vision and ML techniques for image synthesis.
  • Experience with generative models and synthetic data pipelines.
  • Ability to collaborate across software, ML, and hardware teams.

Mansioni

  • Explore, innovate, and leverage novel technologies to improve realism, diversity, and generalizability of image synthesis.
  • Conditional image generation based on metadata, text categories, image masks, or multiple input modalities.
  • Hands-on contributor to synthetic image generation using deep generative models, computer graphics, or physics-based simulation.
  • Tech lead for development and launch of CV/ML solutions for generating and synthesizing images used in training AR/VR models and system design.

Conoscenze

Computer Vision
Synthetic Data
Deep Generative Models
AI-based Image Generation
Image Synthesis
Cross-functional collaboration

Strumenti

PyTorch
TensorFlow

Descrizione del lavoro

Meta Reality Labs seeks a lead computer vision engineer in Burlingame, CA to drive synthetic data generation and simulation for AR/VR products, including the Quest line. You will collaborate with software, ML, simulation, and AI teams to develop image synthesis techniques and ML models for Meta AR/VR devices.

The role emphasizes hands-on development with deep generative models, computer graphics, and physics-based simulation, plus technical leadership across CV/ML solutions for AR/VR system

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