Machine Learning Platform Engineer, Synthesia
Large Scale Compute
1-5 days a week in office
AI video creation platform
Job no longer available
AI video creation platform
201-500 employees
Job no longer available
1-5 days a week in office
201-500 employees
Company mission
To empower everyone to make video content - without cameras, microphones or studios.
Role
Who you are
- We are looking for experienced MLOps professionals, someone who thrives working in a busy start-up environment and is prepared to learn something new every day!
- 3+ years experience in Cloud Engineering / ML Ops / DevOps
- Experience setting up distributed compute in Cloud environment (AWS or other provider)
- Experience with Streaming / Batch Data Pipelines (Airflow, Apache Beam, Spark etc.)
- Experience with Event-driven systems
- Experience in running Distributed processing in ML
- Experience in Model deployment and serving (Docker - K8s / Terraform / Kubernetes)
- Experience supporting deep tech teams working using Python package distribution
- Outstanding communication skills
Desirable
- If you have seen large scale model training with 1000s models built a day through data pipelines with 100s component services. If you have seen multi-GPU large model training using large scale audio-video datasets with 10000s of hours of content
- If you have created a streamlined platform to support world class research teams spanning tech planned direct to product, to foundational research for top-tier academic conferences. We would love to talk to you. We'd also love to talk to you - if this what you dream of doing
- Experience with general-purpose Workflow Orchestrators (Airflow, Kubeflow etc.)
- Experience with Highly distributed ML training
- Experience dealing with Big Data
What the job involves
- You will be our "Go-to" person when it comes to training our models and conducting research on multiple GPUs in the Cloud
- In this position, you will set up and own our compute cluster on AWS. You will be supporting multiple deep tech ML teams on large model training across 100s GPUs
- Setup high performance compute clusters that are easy to access by researchers, come pre-bundled with all necessary tools & packages and can be monitored easily
- Help our research teams set up their distributed ML infrastructure
- Establish best practices on running ML Models on distributed hardware
- Optimise the solution for ease-of-use, efficiency and maximum utilisation
- Configure & create infrastructure for researchers to run their large models on
- Implement new tooling in the areas of orchestration, experiment tracking, service deployment, Infrastructure as Code
Salary benchmarks
Our take
Video is an integral part of companies’ marketing strategies, and the adoption of synthetic media has grown in popularity. As organisations are investing in videos, startups are building platforms to support the process. Synthesia is an AI-powered video generation platform that saves enterprises up to 100x the cost and time of producing a video.
The company leverages deep learning to simulate real videos and real actors without the need for costly infrastructure like camera crews, actors, cameras, studios, and a lengthy post-production process. Synthesia’s first product STUDIO launched in public beta in the summer of 2020 and it is now used by 30,000+ companies, including the BBC, Teleperformance, Amazon, and Reuters.
Notably, Prof. Matthias Niessner, one of the co-founders of the company, is behind some of the most well-recognised research projects in the field Deep Video Portraits and Face2Face. The company's intuitive interface has grown to become the #1 rated video creation platform, proving its strong ability to capitalise on the growing AI in media market – which is estimated to be worth $99.48 Billion by 2030.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Jan 2026
$200m
SERIES E
Apr 2025
$13.2m
LATE VC
Total funding: $550m
Company benefits
- 📍You will work in a hybrid setting with offices London, New York, Copenhagen, Amsterdam, Munich & Zurich!
- 💸 Stock options in our fast-growing Series C start-up
- 🌴 25 days of annual leave + public holidays in the country where you are based
- 🎉 Fun culture with regular socials and company retreats (Portugal, Copenhagen & Barcelona!)
- 🍫 Office snacks and regular tasty lunches!
- 🤑 Generous referral scheme
- 🚀 A huge opportunity for career growth as you’ll help shape a market-defining product
- 🏥 Private Medical Insurance (Medical History Disregarded basis) including mental health support, dental & vision, cashback and gym discounts.
- 🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay.
- 🧓 Pension contribution/salary sacrifice
- 🚲 Cycle to work scheme (London)
Company HQ
Fitzrovia, London, UK
Leadership
Victor Riparbelli
(Co-Founder & CEO)Experience working on growth and product at Aller Media and Founders. Co-founded Immersive Futures in 2016 and Coincall in 2017.
Steffen Tjerrild
(Co-Founder & COO)Former Investment Manager at Kukula Capital and Business Developer at Founders.
Matthias Niessner
(Co-Founder)Computer science professor at the Technical University Munich.
Lourdes Agapito
(Co-Founder)Professor of 3D Computer Vision at University College London.
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