<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/43a7fe30-d2e4-4364-951f-f8179c2f35b7/Logo_Submark_-_Orange.svg" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/43a7fe30-d2e4-4364-951f-f8179c2f35b7/Logo_Submark_-_Orange.svg" width="40px" /> Our mission is clear: We want to make the world's video content watchable in any language. To do so, we are building the systems needed to ingest, diarise, translate, generate synthetic AI voices, and output those videos with a human-in-the-loop workflow component.

It's all about building efficient, reliable, and predictable workflows with suitable technologies and leveraging new technologies when it makes sense.

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Our story

Here at Papercup, our Engineering team is dedicated to building innovative and high-quality solutions. We strive to create cutting-edge technology that meets the needs of our customers. 

We’re a small, fast-growing team of Software Engineers, DevOps Engineers and Data Engineers.

With a focus on teamwork and collaboration to tackle complex challenges and deliver exceptional results. We are not a traditional web developer team; we have no silos; we work with heavy media files and GPU-instanced machines. All this comes with challenges that we find exciting to solve.

We take a first-principles approach to understanding the problem without throwing an out-of-the-box solution.

We encourage a culture of innovation and continuous improvement within the engineering team. We expect the team to promote idea generation, explore emerging technologies, and seek opportunities to apply AI advancements in video dubbing.

**Engineering at Papercup** doesn't stick to specific Dogma; there isn't a single solution that fits all; we all solve the problems together!

Teams in Engineering

<aside> 🤖 Full Stack Engineers Building services and front-ends

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<aside> 🚫 DevOps Engineers Ensuring a developer-friendly, stable and scalable platform on which everyone else builds awesome products.

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<aside> 💽 Data Engineering Collect, process and expose high-quality data for ML training and decision-making.

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Engineering Principles

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/01bfd11e-3aa8-419a-9c4f-9d71627f3765/Logo_Submark_-_Orange.svg" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/01bfd11e-3aa8-419a-9c4f-9d71627f3765/Logo_Submark_-_Orange.svg" width="40px" /> Progress over perfection

• Iterative Development
• Prioritize continuous progress and incremental improvements
• Feedback-driven Optimization
• Seek regular feedback for refinement
• Agile Methodologies
• Embrace adaptability and faster delivery </aside>

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/f1051862-ed2d-4722-8d60-9f3a64cfbe53/Logo_Submark_-_Orange.svg" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/f1051862-ed2d-4722-8d60-9f3a64cfbe53/Logo_Submark_-_Orange.svg" width="40px" /> You can change it

• You choose the tools to do the job. If they don’t work as intended, you can change them.
• Iterate in small chunks
• As we learn, we need to incorporate the learnings into our work
• Scout principle: leave the place in a better state than how you found it </aside>

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/d71ee0b6-3444-4f93-b1f7-77386af257f8/Logo_Submark_-_Orange.svg" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/d71ee0b6-3444-4f93-b1f7-77386af257f8/Logo_Submark_-_Orange.svg" width="40px" /> Pragmatic Quality

• Build only to the required problem size and clearly define the problem boundaries to avoid unnecessary complexity.
• If you’re asked to build a bicycle, don’t build a space shuttle
• Measure, measure, measure. What cannot be measured cannot be improved </aside>

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/8b6efea5-f65d-48bc-8c7c-648ed3f84989/Logo_Submark_-_Orange.svg" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/241ec0d1-0af5-48fd-815f-bf3c34a0b982/8b6efea5-f65d-48bc-8c7c-648ed3f84989/Logo_Submark_-_Orange.svg" width="40px" /> Understand the customer

• Understand the end customer requirements.
• Work with Localisation Operations and Language Specialists
• Use the product
• Develop industry knowledge </aside>