Senior Machine Learning Engineer

Permanent employee, Full-time · London

Your mission

We’re on a mission to make the world's videos watchable in any languagePapercup uses AI to dub videos into other languages using the most human-sounding synthetic voices you've ever heard. Leaders in entertainment, news, and enterprise, such as Jamie Oliver, Business Insider and Bloomberg, use Papercup daily to leap language barriers and engage more deeply with their international audiences.

Last year alone, over 350 million people watched videos translated by Papercup. But this is just the start - billions of hours of video are stuck in a single language - our technology will fundamentally change that and make videos watchable in any language.

We’re more than just an AI startup - we also care deeply about our people. We want people to feel fulfilled, rewarded and genuinely happy at Papercup. That’s why creating and fostering the right culture matters to us and why we’re committed to building a company that people are proud to work for.

If you want to work on a game-changing technology and you care about working with a fun, smart and humble team, we’d love to hear from you.

Your profile

As a Machine Learning Engineer at Papercup, you will be part of a great team pushing the boundaries of multilingual text-to-speech and speech-to-speech systems.

We are looking for machine learning engineers and research scientists who have a background in generative modelling, with experience in areas like large language models, data processing for pre-training and fine-tuning, reinforcement learning for language model tuning, efficient training and inference; and/or multilingual and multimodal modeling.

You will own and push forward your projects during the research cycle, writing code implementation, running experiments, evaluating results, and drawing conclusions. You will also contribute to maturing our research prototypes into fully-fledged production models as well as deploying them in our cloud infrastructure.

What we are looking for from you:

You have at least a bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
You have extensive and hands-on programming experience in Python and deep learning frameworks such as PyTorch
Practical research experience training state-of-the-art generative models (e.g. LLMs, GANs, diffusion) that have a strong product impact
Excellent problem-solving and collaboration skills

It would be nice if you had:

A PhD in Machine Learning, Computer Science, Engineering, or another related technical field.
First author publications at peer-reviewed AI conferences(e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
Experience working in the speech and/or audio domain with publications at major conferences such as Interspeech, ICASSP

Why us?

Why you should consider us?

We really care about our people - culture matters deeply to us and we are committed to building a company that people are proud to work for
We're growing fast. That means you can help grow the business from the ground up and maintain a lot of ownership

Apart from all this good stuff, what else do we offer?

Competitive salary
Unlimited vacation policy
Hybrid working: flex between WFH and time in our Aldgate office (2 days per week)
Private medical cover or monthly wellness bonus
Learning budget and 'reading week' to carve out time to up skill in your domain
The usual food and fun perks: snacks, beer fridge regular team socials, annual offsites

Please note we’re not looking for someone who ticks all the boxes, if you have some of the skills listed above and are willing to learn, you’re the person for Papercup.

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About us

Having recently raised a $20 million Series A round we are backed by leading venture capital funds and two media companies, Papercup is a machine learning startup making the world's video content watchable in any language. Using a cutting-edge AI we automatically translate and voiceover videos in multiple languages, helping enterprises, brands, and media companies reach a global audience with their existing content.

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We are looking forward to hearing from you!

Thank you for your interest in Papercup. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to careers@papercup.com

We work off a hybrid working model at Papercup, we are flexible with 2 - 3 days working from home and the remainder in our awesome Aldgate office