---
title: 'ML Platform Engineer at Synthesia'
canonical: 'https://feeny.ai/job/ml-platform-engineer-synthesia-europe-5923ydw33pqp'
type: 'job'
last_seen: '2026-09-08'
---

# ML Platform Engineer at Synthesia

- **Company:** [Synthesia](https://feeny.ai/companies/synthesia)
- **Location:** Europe
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/synthesia/6730e2e5-0d32-4919-a438-625f1673b70c

## Job description

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

We’re looking for an Engineer to join the ML Platform team at Synthesia.

Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort.

We’re looking for a strong generalist with a systems mindset:

- someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
- this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments.

This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it.

## WHAT YOU’LL DO

- 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.
- Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers.
- Drive improvements across observability, automation, reliability, and developer experience.
- Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities.
- Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE

- Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
- A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
- Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
- Experience with Kubernetes and operating distributed workloads in production.
- Strong coding skills, ideally in Python or similar languages used for backend systems and tooling.
- Strong judgment around where automation adds leverage, and where human control and reliability matter most.
- Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers.
- Comfort working in ambiguous environments and taking ownership of open-ended technical problems.
- A pragmatic approach: you care about solving the right problem well, not over-engineering.

## PARTICULARLY RELEVANT EXPERIENCE

- Operating ML infrastructure or model serving systems in production.
- Supporting research or data-intensive workloads.
- Working with GPU-based systems or other performance-sensitive infrastructure.
- Experience with observability and debugging in distributed systems.
- Familiarity with Terraform, Datadog, GitHub Actions, or similar tools.

## BONUS POINTS FOR

- Experience building agentic or LLM-powered internal tools.
- Experience with workflow orchestration systems such as Temporal.
- Experience working at the boundary between research and production engineering.
- Familiarity with performance optimization, scheduling, or resource allocation problems.
- Experience building lightweight product or developer-facing tools.

## About Synthesia

## Company Overview
- **One-liner**: Synthesia is an all-in-one AI video platform that enables businesses to create, localize, manage, and publish professional-quality videos using AI avatars and voiceovers, without any filming equipment or video editing skills.
- **Entity Type**: Private (Series C)
- **Headquarters**: London, United Kingdom
- **Founded**: 2017
- **Founders**: Victor Riparbelli (CEO), Prof. Lourdes Agapito, Steffen Tjerrild (COO), Prof. Matt Niessner

## Core Business
- **Primary industry**: AI Video Platform / Enterprise SaaS / Creative Technology
- **Target customers**: B2B, Enterprise (trusted by 50,000+ teams globally, including 90% of the Fortune 100)
- **Mission statement**: "Helping people work better" — transforming how organizations train, onboard, and upskill their employees with AI.

## Products & Services
- **Synthesia AI Video Platform (Core)**: Full-stack SaaS platform for creating AI videos. Includes AI avatars (240+), AI voices in 160+ languages, 1-click translation, real-time team collaboration, version control, brand kit management, analytics (views, drop-offs, completion rates), and SCORM export for LMS integration.
- **AI Avatars**: Customizable, expressive AI avatars that speak 160+ languages. Users can also create their own custom avatar.
- **AI Screen Recorder**: Polished screen recordings with instant transcripts (removes 'ums' and 'uhs'), editable and translatable.
- **Multilingual Video Player**: Single player to watch and organize videos in 160+ languages.
- **AI Video Assistant & Academy**: Tutorials and onboarding tools to help users create videos quickly.
- **Enterprise Security Suite**: SOC 2 Type II, GDPR, ISO 42001 compliant, with SAML/SSO. Designed to satisfy the toughest legal and security teams at Fortune 100 companies.

## Market Standing
- **Valuation/ Market Cap**: Not publicly disclosed (last known funding round: Series C, $180M raised, led by Accel and Nvidia in 2023, valuing the company at $1B+ — Unicorn status).
- **Key Metric**: **$100M+ Annual Recurring Revenue (ARR)** — announced by COO & Co-founder Steffen Tjerrild in a public LinkedIn post [linkedin.com](https://www.linkedin.com/posts/steffentjerrild_probably-the-milestone-im-most-proud-of-activity-7317848922612224001-UuZ1)
- **Notable Investors/Partners**: Accel, Nvidia (lead Series C), with previous investors including Kleiner Perkins, GV, FirstMark Capital, and MMC Ventures. The company has an active partnership ecosystem including integrations with LMS providers and enterprise tooling.
- **Growth Signals**: 
  - Crossed $100M ARR (strong product-market fit and revenue growth).
  - Used by 90% of the Fortune 100 and 50,000+ teams.
  - Engineering team scaled from 0 to 80+ engineers.
  - Over 1M+ users on the platform.
  - Hiring in 26+ countries with offices in London and NYC.
  - Continues to expand product suite (AI avatars, video agents, analytics, and skill development products).

## Competitive Advantages
- **Proprietary AI & Avatars**: Deep AI research spanning computer vision, graphics, and NLP (co-founders from Stanford, Cambridge, UCL, TUM). Avatars are highly expressive and support 160+ languages with accurate lip-sync.
- **Enterprise Security & Compliance**: SOC2, GDPR, ISO42001, SAML/SSO — a key differentiator for Fortune 100 clients who require stringent security.
- **End-to-End Platform**: Combines creation, localization, management, analytics, and version control in one tool — reducing reliance on multiple vendors and agencies.
- **AI Ethics-First**: 10% of the team is dedicated to AI safety and ethics, a strong trust signal for enterprise buyers.
- **Velocity & Innovation**: Engineering team delivers meaningful features every few days, not weeks, enabling rapid iteration.

## Strategic Focus
- **Enterprise Scale & Platform Depth**: Deepening integrations with enterprise tooling (LMS, security suites) and expanding video product suite (Avatars, Agents, skill development).
- **Global Localization**: Strengthening 160+ language support and 1-click translation to serve multinational enterprises.
- **AI Ethics & Trust**: Maintaining a dedicated ethics team and proactive AI policy engagement to stay ahead of regulation and build customer trust.
- **Product Expansion**: Moving from video creation to a broader "visual communication" platform including AI Agents and analytics-driven optimization.
- **Talent Acquisition**: Scaling the global team across engineering, research, and go-to-market functions, with a focus on high-velocity engineering culture.

## Why Work Here
- **Global & Remote-First Culture**: Team spans 26+ countries. Offices in London and NYC, with remote work flexibility. Roughly 80% of London HQ staff are immigrants, fostering a diverse, international environment.
- **High-Velocity Engineering**: Engineers deliver meaningful features every few days (no long releases). Minimal meetings and SCRUM ceremonies — a focus on building and shipping.
- **Growth & Ownership**: Real ownership from day one. Clear progression paths, annual learning budget, access to courses and conferences.
- **People-First & AI Ethics**: 10% of team dedicated to AI safety. Strong emphasis on work-life balance with competitive compensation, PTO, and benefits.
- **H-1B Friendly**: CEO Victor Riparbelli has publicly highlighted that the London office provides a strong alternative to US visa uncertainty, with ~80% of staff being immigrants.
- **Top-Tier Team**: Founders and engineering leadership from Stanford, Cambridge, UCL, TUM, and top tech companies.

## Sources
1. [synthesia.io/about](https://www.synthesia.io/about)
2. [synthesia.io](https://www.synthesia.io/)
3. [synthesia.io/careers](https://www.synthesia.io/careers)
4. [linkedin.com/company/synthesia-technologies](https://uk.linkedin.com/company/synthesia-technologies)
5. [pitchbook.com/profiles/company/267090-49](https://pitchbook.com/profiles/company/267090-49)
6. [linkedin.com/posts/steffentjerrild](https://www.linkedin.com/posts/steffentjerrild_probably-the-milestone-im-most-proud-of-activity-7317848922612224001-UuZ1)
7. [linkedin.com/posts/victorriparbelli](https://www.linkedin.com/posts/victorriparbelli_h-1bs-are-causing-a-lot-of-uncertainty-right-activity-7375861659610836993-UULl?utm_source=share&utm_medium=member_desktop&rcm=ACoAABVaNoYBu2QiVriT0MMLe-cbAPv2sPNI2cA)

## Other roles at Synthesia

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- [Social Media Associate](https://feeny.ai/job/social-media-associate-synthesia-new-york-dejxzkpjymf6) — New York, NY
- [Social Media Associate](https://feeny.ai/job/social-media-associate-synthesia-london-j35mw2hqg7dh) — London, United Kingdom
- [Senior Commercial Counsel](https://feeny.ai/job/senior-commercial-counsel-synthesia-new-york-rebvt4wn5dxz) — New York, NY
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