Staff Engineer, Machine Learning

Synthesia Synthesia · Multimodal · EUROPE · Engineering

Staff Engineer, Machine Learning at Synthesia, a leading AI video platform. This role focuses on building and owning features for the new Interactive Agents product, a conversational video platform. Responsibilities include working directly with LLMs, prompt engineering, fine-tuning, and building ML infrastructure for agentic AI solutions. The role is end-to-end, involving ideation, product direction, and evaluating work using established data pipelines. Requires at least 7 years of experience, with 3+ at staff level, and experience in high-performing, scaled engineering teams building enterprise-grade SaaS products.

What you'd actually do

  1. own multiple features for our new Interactive Agents product, a two-way conversational video platform to practice conversations and improve team performance, unlocking scalable learning and coaching experiences.
  2. working directly with LLMs, prompt engineering, fine-tuning for real use cases and building associated ML infrastructure. This is a true end-to-end position working on real agentic AI solutions.
  3. work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product.
  4. evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary.
  5. consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.

Skills

Required

  • at least seven (7) years of experience as a software engineer, at least 3 on the staff level
  • experience in a high-performing engineering team that is operating at scale
  • an ability to work across the stack, with deep knowledge on server side, Machine Learning and all things back end related
  • relevant engineering experience for a team building an enterprise-grade SaaS product, delivering agentic systems to enhance customer experience
  • strong alignment with commercial success

Nice to have

  • Previous leadership experience of smaller teams is a plus.

What the JD emphasized

  • enterprise-grade SaaS product
  • agentic systems
  • AI Safety, Ethics and Security

Other signals

  • building agentic AI solutions
  • working directly with LLMs
  • fine-tuning for real use cases
  • building associated ML infrastructure
  • end-to-end position