Machine Learning Engineer

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 3000+ 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: tensorflow,concepts,models,processing,deep learning,gans,pytorch,python