Sr. ML Platform Engineer - ML Ops

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 Synthesia

We\’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?

In this position, you will be joining the ML Platform Team to further develop our high-scale compute & data platform. Our team\’s goal is to super-charge the research teams to develop our AI models at scale as quickly and efficiently as possible. The team manages the entire cloud infrastructure and tooling that our researchers use to collect data & train the models at scale.

Who are you?

• Background in Computer Science, DevOps and ML Platform Engineering, with at least 5 years of industry experience
• You are well versed in the ways of Kubernetes, Cloud Native technologies and Infrastructure as Code.
• You 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 orchestrators
• A big plus is experience in deploying large deep learning models in production, for example using Nvidia Triton.
• You have great coding skills in Python and you care about technical debt & documentation.
• You get a lot of energy from collaborating with Researchers / Data Scientists to improve their day-to-day work
• And 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 remote
• 25 days of annual leave + public holidays
• Work in a 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

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