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 you’re 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 high-quality video production remains complex and challenging to scale—until now….Meet SynthesiaWe're 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 high-quality videos. Whether it's 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. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more.What will you be doing?As part of the Research Data Team, you will contribute to the development of our large-scale compute and data platform, supporting AI research at scale. Your primary focus will be on optimizing data processing pipelines for our audio initiatives. You will be responsible for designing, implementing, and maintaining robust data workflows while working closely with our TTS team to maximize data quality and usability for model training.Who are you?Background in Computer Science, preferably in Data Engineering, with at least 3 years of industry experienceYou have plenty of experience working with tooling from at least 1 major Cloud Provider (AWS, GCP, Azure)You have experience setting up infrastructure at scale for ML / Data Teams, including CI/CD, Data pipelines and Workflow orchestratorsA background in audio data processing is a plusYou have great coding skills in Python and you care about technical debt & documentation.You get a lot of energy from collaborating with Researchers to improve their day-to-day workAnd most importantly..You have excellent verbal and written communication skills in English and you are passionate about what you do!The good stuff...Attractive compensation (salary + stock options + bonus)Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote25 days of annual leave + public holidaysWork in a great company culture with the option to join regular planning and socials at our hubsA generous referral scheme when you know people that are amazing for usStrong opportunities for your career growth #J-18808-Ljbffr