Senior ML Platform Engineer - ML Ops

1 Month ago • 5 Years + • Devops

Job Summary

Job Description

Synthesia is seeking an experienced ML Platform Engineer specializing in ML Ops to join their ML Platform Team. The role involves developing a high-scale compute and data platform to empower research teams in efficiently training AI models. Responsibilities include managing cloud infrastructure, tooling for data collection, and model training at scale. The ideal candidate will have a strong background in Computer Science, DevOps, and ML Platform Engineering, with at least 5 years of industry experience. Proficiency in Kubernetes, Cloud Native technologies, Infrastructure as Code, and experience with major cloud providers (AWS, GCP, Azure) are essential. Experience setting up scalable infrastructure for ML/Data teams, including CI/CD, data pipelines, and workflow orchestrators, is also required. A plus would be experience deploying large deep learning models in production, such as using Nvidia Triton. Excellent Python coding skills, a focus on technical debt and documentation, and strong collaboration skills with researchers and data scientists are expected. Excellent verbal and written English communication is a must.
Must have:
  • 5 years of industry experience
  • Computer Science, DevOps, ML Platform Engineering background
  • Kubernetes, Cloud Native technologies
  • Infrastructure as Code
  • Experience with AWS, GCP, or Azure
  • Setting up ML/Data infrastructure at scale
  • CI/CD, Data pipelines, Workflow orchestrators
  • Python coding skills
  • Excellent English communication
Good to have:
  • Experience deploying large deep learning models (e.g., Nvidia Triton)
  • Care about technical debt & documentation
  • Collaborating with Researchers/Data Scientists
Perks:
  • Attractive compensation (salary + stock options + bonus)
  • Hybrid work setting
  • 25 days of annual leave + public holidays
  • Great company culture
  • Generous referral scheme
  • Strong career growth opportunities

Job Details

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 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. Read stories from happy customers and what 1,200+ 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 we’ve raised over $330M in funding from top-tier 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?

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

You can see more about Who we are and How we work here: https://www.synthesia.io/careers

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