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.

Skills: research,computer vision,gans,video editing,tensorflow,deep learning,models,optimization,video processing,pytorch,python,generative models,vaes