REMOTEFULLTIME
Full Stack Engineer
Narration Box
Remote · remote · Posted 43d ago
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Section · 01
About this role
Job Summary
At Narration Box, we are revolutionising the creation of multi-lingual content using advanced technologies like text-to-speech, voice cloning, and dubbing. Our mission is to break down language barriers and make it easy for anyone to create high-quality, accessible content for global audiences using AI. Narration Box is rapidly expanding and seeking passionate individuals to join us on our journey. If you're excited about the prospect of building an innovative SaaS that enables seamless, multilingual content creation, we'd love to hear from you. We are looking for individuals who can learn new technologies easily, like to build software with sheer passion and have a vision on how AI will navigate the world of content creation and distribution.
If you're into high-quality tools and next-level infrastructure at a large scale, read on!
We're hiring a Full Stack Engineer to join our small team of A+ people and build the foundations of Narration Box.
Role Description
As a Full Stack Engineer at Narration Box, you will play a crucial role in developing and enhancing our platform. You will be responsible for designing and implementing robust, scalable, and user-friendly features that power our content creation and distribution tools.
Your key responsibilities will include:
- Developing and maintaining the backend infrastructure using Python and Django
- Building dynamic, responsive user interfaces using React, Gatsby, and GraphQL
- Maintaining our API
- Optimising system performance and ensuring high availability and reliability
- Continuously improving the codebase and implementing best practices
Qualifications
Technical skills:
- Strong foundation in Python programming
- Basic understanding of machine learning concepts and frameworks (PyTorch or TensorFlow)
- Familiarity with deep learning, particularly in speech and audio processing
- Basic knowledge of version control systems (Git)
- Understanding of data structures and algorithms
Machine Learning skills:
- Knowledge of fundamental ML concepts (supervised learning, neural networks, etc.)
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02