About the job
Company Introduction:
At Momenti, we believe in transforming the way content is experienced. Our mission is to create immersive video interactions that captivate and engage audiences. With our innovative approach, we break the conventional boundaries of static content and bring it to life, fostering deeper emotional connections through multi-dimensional video experiences.
Job Overview:
We are seeking a skilled and enthusiastic Computer Vision AI Engineer to become a vital part of our dynamic New York team. You will engage in cutting-edge research and implement a variety of software, computer vision, and machine learning methodologies to tackle challenges that connect the virtual world with reality.
Key Responsibilities:
Design, test, troubleshoot, deploy, and maintain advanced computer vision algorithms and hardware tailored for diverse environments. Create automated vision algorithms with a focus on robotics and autonomous systems. Analyze and optimize performance metrics from computer vision algorithms to enhance efficacy.
Preferred Qualifications:
• Proficiency in computer vision frameworks such as OpenCV and MediaPipe.
• Experience with MLOps and operationalizing machine learning models.
• Familiarity with generative computer vision AI techniques, including stable diffusion models.
• Background in 3D reconstruction AI.
Basic Qualifications:
• A degree in Computer Science, Electrical Engineering, or Applied Mathematics.
• Minimum of 3 years hands-on experience in image sequence classification (action recognition) utilizing models like ViT or RCNN or any sequential image classification deep learning framework (mandatory).
• Proficient in Python coding.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
About Momenti, Inc.
Momenti is at the forefront of the content revolution, dedicated to transforming static media into interactive experiences that resonate with audiences. Our innovative technology merges the virtual and real worlds, allowing for deeper engagement and emotional connections through video.