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# Research Engineer, Computer Vision

- **Company:** Facebook Inc.
- **Location:** Pittsburgh, PA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, Pytorch, Large Language Models, Deep Learning, Information Technology
- **Published:** July 1, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27805705/Research-Engineer-Computer-Vision-Pennsylvania-Pittsburgh-7418

## About the Role

* Proven experience with C++ and/or Python, including experience with modern features
 * Experience working with deep learning frameworks such as PyTorch and TensorFlow
 * Demonstrated experience working collaboratively in cross-functional teams

Preferred Qualifications:

 * Master's degree in Computer Science, Computer Vision, Machine Learning, or related field
 * Experience with vision-language models or multi-modal transformers
 * Publications or contributions to multi-modal understanding research
 * Familiarity with large language models and their integration with visual understanding systems
 * Experience with data curation, annotation tools, or ground truth labeling pipelines

## Description

As a Research Engineer focused on Multi-Modal Understanding, you will develop advanced algorithms that integrate computer vision with other modalities such as language, audio, and sensor data. You will also drive the curation of multi-modal datasets and ground truth annotation pipelines to support model training and evaluation. You will work closely with our research team to bring innovative multi-modal solutions to production, bridging the gap between visual perception and holistic contextual understanding for immersive applications., * Design and implement multi-modal understanding systems that combine vision, language, and other sensory inputs to enable richer contextual awareness

 * Develop algorithms for cross-modal learning, fusion, and reasoning to improve human-AI interaction
 * Lead the curation and management of multi-modal datasets, ensuring data quality and diversity across vision, language, and sensor modalities
 * Design and oversee ground truth annotation workflows and quality assurance processes for multi-modal data
 * Complete medium to large features spanning multiple tasks independently with minimal to no guidance
 * Collaborate with researchers and engineers across computer vision and machine learning teams to drive multi-modal innovation
 * Develop well-organized code with proper testing and documentation, building production-ready multi-modal systems


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