Passionbits - a synthetic video ad engine that allows fashion and lifestyle brands to choose creators, scripts, wardrobes, and more to get custom videos made for their socials and ads. Community of 800+ creators & studios, powering on-demand video content for enterprise marketers. Helping creators monetise their on/behind camera skills, instead of their audience to help add passive earnings. Pre-seed funded. Early revenue traction. Founding roles. Role Description We are seeking a passionate and talented Deep Learning Intern to join our dynamic team. This internship offers a unique opportunity to work on cutting-edge AI models that drive our video ad creation and optimization platform. Responsibilities Model Development : Assist in designing, developing, and improving deep learning models for video generation and dynamic visual content creation. Research & Innovation : Conduct research on the latest advancements in deep learning and apply relevant techniques to enhance our platform. Data Processing : Analyze and preprocess large datasets to train and validate models, ensuring high-quality outputs. Integration : Collaborate with the engineering team to integrate AI models seamlessly into our existing systems. Optimization : Optimize model performance and scalability to ensure efficient deployment and real-time processing. Collaboration : Participate in brainstorming sessions to develop new features and enhancements for the platform. Documentation : Document your work and present findings to the team, ensuring clear communication of technical concepts. Technical Skills Strong understanding of deep learning concepts and frameworks (e.g, TensorFlow, PyTorch). Proficiency in programming languages such as Python. Familiarity with computer vision techniques and video processing. Soft Skills Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a collaborative team. Strong communication skills, both written and verbal. Preferred Experience With generative models (e.g, GANs, VAEs). Knowledge of video editing and processing tools. Previous internship or project experience in deep learning or AI development. (ref:hirist.tech),
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Machine Learning Engineer - Python Programming