Synthesia

3 months ago

Principal ML Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Senior IC role focusing on building and operating production ML platform systems with a systems mindset. You’ll design, deploy, and automate infrastructure for model training, evaluation, and production serving, balancing reliability, scalability, and cost-efficiency across cloud and GPU-backed workloads.

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and improve the platform systems that support model training, evaluation, and production serving.
•Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
•Develop internal tools and workflows that are easy to operate both by humans and by agents.
•Work on the architecture behind how models are deployed, served, and operated across research and product environments.
•Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.

Key Requirements

•Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
•A systems mindset—thinking in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
•Hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
•Experience with Kubernetes and operating distributed workloads in production.
•Strong programming skills, preferably in Python or similar languages used for backend systems and tooling.

Experience:AIMachine learningSaaS

Skills:CommunicationProblem-solvingCollaborationAdaptabilityLeadership

Tech Stack:PythonKubernetesTerraformDatadogGitHub ActionsLinuxCloud infrastructure

Company Brief

Synthesia

Provides an AI video generation platform that creates realistic synthetic presenters and video content from text, enabling enterprises to produce scalable training, marketing, and communications videos without cameras or actors.

Industry: AI & Machine Learning

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: London, United Kingdom

Founded: 2017

Website LinkedIn

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Synthesia

3 months ago

Principal ML Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and improve the platform systems that support model training, evaluation, and production serving.
•Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
•Develop internal tools and workflows that are easy to operate both by humans and by agents.
•Work on the architecture behind how models are deployed, served, and operated across research and product environments.
•Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.

Key Requirements

•Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
•A systems mindset—thinking in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
•Hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
•Experience with Kubernetes and operating distributed workloads in production.
•Strong programming skills, preferably in Python or similar languages used for backend systems and tooling.

Experience:AIMachine learningSaaS

Skills:CommunicationProblem-solvingCollaborationAdaptabilityLeadership

Tech Stack:PythonKubernetesTerraformDatadogGitHub ActionsLinuxCloud infrastructure

Company Brief

Synthesia

Industry: AI & Machine Learning

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: London, United Kingdom

Founded: 2017

Website LinkedIn