Senior ML Engineer, Dubbing

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. About the team The Dubbing and Localisation team owns Synthesia's end-to-end video translation product, transforming existing videos into new languages while preserving voice, lip sync, and timing. As the team scales, building robust, automated infrastructure for measuring and maintaining translation quality is important. The role You'll own the design and scaling of an automated translation quality evaluation framework — building the infrastructure that lets the team measure quality consistently, automatically, and at scale. You'll be partnering closely with the team to ensure the systems you build reflect real-world product quality needs. What you'll work on - Designing and building scalable evaluation infrastructure for automated translation quality measurement - Owning the rollout of that infrastructure starting with Localisation, then scaling across Dubbing and other teams - Driving consistency and automation in how quality is measured across the pipeline - Partnering with the wider organisation to align evaluation infrastructure with real product and user quality signals - Maintaining and iterating on evaluation systems as the pipeline and product evolve - Working closely with Synthesia's internal R&D team on evaluation methodology and tooling What we're looking for - Strong ML infrastructure engineering background - Hands-on experience designing and scaling ML evaluation or quality measurement systems in production - Solid understanding of ML pipelines and how models are evaluated - Comfortable owning systems from architecture all the way through to delivery - Strong backend engineering fundamentals; this role ships real production systems, not research prototypes - Experience working cross-functionally across multiple teams with different requirements - Familiarity with NLP, translation quality metrics, or speech/audio evaluation is a strong plus Nice to have - Experience with LLMs applied to quality scoring or translation evaluation - Background in async or batch processing pipelines - Prior work in localisation, dubbing, or media processing tooling WHY JOIN US? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, 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. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21 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 https://www.synthesia.io/case-studies and what 1,200+ people say on G2 https://www.g2.com/products/synthesia/reviews#reviews. 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 re