Machine Learning Engineer
2 weeks ago
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
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