ML Engineer

About the role

As an ML Engineer, you will contribute end-to-end to the development of our next-generation Agentic AI Agents, helping deliver features safely and effectively to customers. These agents power conversational, two-way interactions within Synthesia using advanced AI technologies.

Your work will combine challenges across machine learning, infrastructure, and user experience. You’ll contribute to infrastructure development, prompt engineering, and direct integration with large language models (LLMs).

You will take ownership of projects that may span multiple months, breaking down complex initiatives into smaller deliverables that can be released, measured, and iterated on over time.

Working closely with the Product Manager assigned to your area, you will help define solutions, focus on the underlying business problems being solved, and influence the future direction of the product.

You will also be responsible for assessing the impact of your work by leveraging established data pipelines and analytics frameworks, using those insights to refine features and maximize business outcomes.

Additionally, you'll contribute to the long-term growth of the team by helping develop the engineering capabilities needed to stay ahead of challenges expected over the next 6–12 months.

What we're looking for

• At least 7 years of experience in software engineering, including 3+ years at a senior or lead level
• Experience working within high-performing engineering organizations operating at scale, whether in a fast-growing scale-up or a well-established company known for strong engineering practices
• Ability to work across the stack, with deep expertise in backend systems, machine learning, and server-side technologies; backend-focused engineers are welcome if comfortable occasionally contributing to frontend initiatives
• Relevant experience building enterprise-grade SaaS products, particularly in areas such as AI-powered video generation, billing systems, experimentation platforms, video delivery platforms, online editing tools, real-time collaboration products, or similar complex systems
• Strong focus on commercial impact and business outcomes
• Previous experience leading smaller engineering teams is considered a plus