About the Role

We are looking for a Machine Learning Engineer – Computer Vision with experience in image, audio and video generation to join our Computer Vision team. You’ll work on cutting-edge projects involving multi modal models, diffusion models, GANs to develop social media content editing and generation tools.

Key Responsibilities

• Design and implement generative models for image, audio and video creation.
• Build robust CV pipelines for object detection, segmentation, classification, clustering and dataset augmentation.
• Collaborate with marketing campaign management to generate real time social media content optimization.
• Manage image / video datasets and preprocessing strategies for high-quality generation.
• Stay current on advancements in generative media and advise / inform the team on updating our models / feature space.

Requirements

• Required:
• 3 years of hands-on ML / DL experience with a focus on Computer Vision.
• 1 to 2 years of experience in using Generative AI models, ideally with diffusion or GAN-based methods.
• Strong background in python programming and DL frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.
• Proficiency in building and managing visual data pipelines and augmentations.
• Understanding of social media content creation strategies and the use of generative AI in creating content.
• Nice-to-have:
• Masters’ or PhD in a relevant field.
• Working knowledge of LLMs, text-to-image, image-to-video, etc. relevant to multi-modal models.
• Some knowledge of audio processing and generation models or frameworks.