Welcome to the video first world

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 February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.

What you'll do at Synthesia:

We are looking for a Machine Learning / AI Software Engineer who is passionate about building intelligent, scalable, and production-ready AI agents that redefine how people learn. You will join our Copilot Team - a multidisciplinary group of researchers and engineers building course design agents capable of designing, writing, and enriching interactive educational experiences.

Your mission is to turn cutting-edge research into robust, high-performing software that reaches real users. You’ll work in a fast-moving environment, helping define the architecture of our agentic systems while ensuring best practices in engineering, deployment, and collaboration. You will thrive here if you love to code, ship, iterate, and if you want to help shape the next generation of AI-powered learning experiences.

• Design, build, and deploy production-grade AI agents using frameworks such as OpenAI Agents SDK
• Own architectural components within the Copilot project, ensuring modular, scalable, and maintainable designs
• Implement new features quickly to improve user experience and unblock the team as we iterate
• Collaborate closely with researchers and engineers to integrate LLMs into complex, multi-agent systems
• Write clean, efficient, and tested code following best engineering practices
• Optimize and maintain agent pipelines from prototype to production
• Spread good practices around scalable agentic system design and AI software engineering

Who you are:

• You have a background in Computer Science, Software Engineering, or a related field.
• You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development.
• You are an engineer at heart, you enjoy building working systems more than writing research papers.
• You have strong Python skills and experience in building and maintaining production systems.
• You have hands-on experience with agentic frameworks such as OpenAI Agents SDK, LangChain, CrewAI, or LangGraph.
• You’ve built and deployed real time multi-agent applications that are deployed to and tested by real users.
• You communicate clearly and work well in small, fast-paced teams.

Nice to have

• Experience using or fine-tuning LLMs (directly or via APIs).
• Comfort with cloud environments (AWS, GCP) and Docker.

Collaboration

• You’ll work closely with the Copilot Team, a cross-functional group of engineers and researchers.
• You’ll own key architectural aspects of the system while collaborating daily on design, implementation, and deployment.
• Success means empowering others with your engineering expertise and improving how the whole team builds and scales agents.

Why join us?

We’re building the future of AI-driven learning. Our instructional design agents are transforming how educational content is created - from course outlines and writing to visuals, interactivity, and immersive roleplay scenarios. You’ll work alongside world-class engineers and researchers to make high-quality education creation accessible to everyone.

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

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.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.

The good stuff...

• Competitive compensation (salary + stock options + bonus)
• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• + other benefits depending on your location

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