Computer Vision Engineer Jobs

About The Position

Requirements

• Master’s degree or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.
• Experience in deep learning, with demonstrated work in at least one area of multimodal systems, such as vision, language, or video.
• Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
• Experience with rapid prototyping, reproduction, and validation of research ideas.
• Strong mathematical foundations in machine learning, computer vision, or related fields.
• Experience with foundation model architectures and training methodologies.
• Experience working effectively in a multifunctional, collaborative environment.
• PhD or equivalent practical experience in Computer Science, Machine Learning, Computer Vision, or a related technical field.
• Demonstrated deep learning expertise, evidenced by relevant conference publications or a strong track record applying deep learning techniques to real-world products.
• Strong communication skills and ability to present research findings to technical and non-technical audiences.

Nice To Haves

• Experience with foundation models, including training, fine-tuning, and deployment.
• Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
• Experience with multimodal pretraining, vision-language models, video-language models, and multimodal alignment.
• Experience with large-scale distributed training and model parallelism.
• Publications at relevant conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or COLM.

Responsibilities

• Develop and optimize computer vision and machine learning algorithms for human understanding, including pose estimation, gesture recognition, facial analysis, and behavioral modeling.
• Build motion synthesis systems and algorithms for realistic human motion generation and animation.
• Design and implement biometric algorithms for secure authentication and identification systems.
• Create real-time 3D perception and tracking systems for spatial computing and AR/VR applications.
• Design, build, and ship perception technologies, motion synthesis systems, and human understanding algorithms.