2025 Computer Vision Engineer

Join OPPO's AI Center team to design and deploy state-of-the-art vision systems powering next-generation mobile experiences. You'll work on industrial-scale ML solutions for camera systems, computational photography, and generative AI features, impacting millions of OPPO devices globally. Collaborate with cross-functional teams to balance real-time performance, privacy, and user-centric innovation.

Why OPPO?

Impact millions of users through cutting-edge AI in cameras and AR.

Work with global R&D teams in a fast-paced, innovation-driven environment.

Requirements

Key Responsibilities:

Research and develop advanced computer vision models (e.g., object detection, segmentation, generative AI, multi-modal understanding) for OPPO's hardware and software system.

Optimize models for mobile deployment (e.g., quantization, pruning, NPU acceleration) to achieve efficiency on edge devices.

Drive GenAI applications (e.g., image/video generation, enhancement, or personalized content) from prototyping to production.

Collaborate with product teams to integrate CV/ML solutions into OPPO's camera, and gallery platforms.

Publish cutting-edge research at top-tier conferences (CVPR, ICCV, ECCV, etc.) and patent novel technologies.

Analyze trillion-scale visual data to improve model robustness and user experience.

Qualifications:

Minimum:

1. PhD in Computer Science, Electrical Engineering, or related field.

2. Strong Python/C++ skills and experience with PyTorch/TensorFlow.

3. Hands-on CV/ML project experience (e.g., object detection, generative models, or mobile deployment).

4. Knowledge of model optimization techniques (pruning, distillation, etc.).

Preferred:

1. 3+ years of industry experience deploying models on edge devices.

2. Publications at top conferences (CVPR, ICCV, ECCV) or patents in CV/ML.

3. Expertise in mobile ML stacks (TensorFlow Lite, Qualcomm SNPE, MediaTek APU).

4. Familiarity with Multimodality and Large Multimodal Models (vision-language).

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Qualification

Master's Degree