Senior Research Engineer - Data
Senior Research Engineer - Data
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Job Description
Who are we
From your everyday PowerPoint presentations to Hollywood movies AI will transform the way we create and consume content.
Today people want to watch and listen not read both at home and at work. If youre reading this and nodding check out our brand video.
Despite the clear preference for video communication and knowledge sharing in the business environment are still dominated by text largely because highquality video production remains complex and challenging to scaleuntil now.
Meet Synthesia
Were on a mission to make video easy for everyone. Born in an AI lab our AI video communications platform simplifies the entire video production process making it easy for everyone regardless of skill level to create collaborate and share highquality videos. Whether its for delivering essential training to employees and customers or marketing products and services Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. Were trusted by leading brands such as Heineken Zoom Xerox McDonalds and more. Read stories from happy customers and what 1200 people say on G2.
In 2023 we were one of 7 European companies to reach unicorn status. In February 2024 G2 named us as the fastest growing company in the world. In 2025 we announced our series D funding. In total weve raised over $330M in funding from toptier investors including NEA Atlassian Ventures WiL PSP Growth and existing investors such as Accel Nvidia Kleiner Perkins GV and top founders and operators including Stripe Datadog Miro Webflow and Facebook.
What will you be doing
The Data team owns the entire lifecycle of data for researchers. From sourcing to processing and storage. They provide the data bundles required for the research teams to train their model at scale.
As part of the Data team youll be working with over a million hours of video and audio data. Youll be scaling opensource models building systems that enable us to efficiently query data in our lake and optimise deep learning pipelines in production. This isnt a classic data engineering role; its more of a hybrid between ML infra and research engineering owning pipelines that directly impact cuttingedge AI research and enabling our entire R&D department to conduct their work more efficiently.
The nature of audio and video data brings unique challenges. Your work will enable us to better overcome edge case videos (such as those with large resolutions or long durations) and more effectively identify the useful elements of a video from one person in frame through to the emotional performance.
Who are you
- Background in Computer Science Computer Vision or Audio ML
- Experience working in deep learning teams and production environments
- Strong Python skills and a passion for clean maintainable code
- Handson experience with workflow orchestration (we use Kubeflow and Spark)
- Interest in largescale nontabular data (video audio images)
Bonus points if you have experience in:
- Audio domain such as TTS emphasis prediction or transcription
- Video domain such as transcoding or downscaling
- Model optimisation experience e.g.GPU utilisation CPU/GPU concurrent workloads
The good stuff...
- Very competitive compensation (salary stock options bonus)
- Hybrid work setting with an office in London Amsterdam Zurich Munich or remote in Europe.
- 25 days of annual leave public holidays
- Great company culture with the option to join regular planning and socials at our hubs
- A generous referral scheme when you know people that are amazing for us
- Strong opportunities for your career growth
- other benefits depending on your location
You can see more about who we are and how we work here: Experience:
Senior IC
Employment Type
Full Time
Key Skills
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