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 Engineer to join our dynamic team. This role 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.
research,computer vision,gans,video editing,tensorflow,deep learning,models,optimization,video processing,pytorch,python,generative models,vaes