At a Glance
- Tasks: Design and build scalable systems for automated translation quality evaluation.
- Company: Join Synthesia, the leading AI video platform trusted by top brands.
- Benefits: Competitive salary, stock options, 25 days leave, and a vibrant work culture.
- Other info: Flexible remote work options available across Europe with excellent career growth.
- Why this job: Be at the forefront of AI innovation and make a real impact in video localisation.
- Qualifications: Strong ML infrastructure experience and backend engineering skills required.
The predicted salary is between 120000 - 120000 € per year.
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.
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.
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.
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.
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.
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.
The hiring process:
- 30-40min call with our Technical Recruiter
- 45min call with an Engineering Manager about your past projects
- 90min Live Coding interview, a collaboration exercise with our Engineer (not Leetcode style)
- 60min System Design, technical discussion usually about a real problem we had in production
- 45min call with leadership, focus on examples of collaboration, growth and going through details of your future team
The process does not need to take long - we can be done in seven working days.
Other important info:
- Our preference is for this role to be based either in-office or remote in the following locations: UK, Germany, Switzerland or Ireland.
- The salary starts at EUR/GBP/CHF 120.000 base + stock option plan.
- This is full-time employment only - no contractors possible - usually through OysterHR.
- Everyone at Synthesia gets 25 days of leave + local holidays.
- We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.
Senior ML Engineer, Dubbing in London employer: Synthesia
At Synthesia, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Senior ML Engineer in Dubbing, you'll be at the forefront of cutting-edge AI technology, collaborating with talented teams across Europe and the US, while enjoying competitive benefits such as a generous salary, stock options, and 25 days of leave. Our commitment to employee growth and a people-first approach makes Synthesia an exceptional place to build a meaningful career in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Dubbing in London
✨Tip Number 1
Get to know the company inside out! Research Synthesia's products, culture, and recent achievements. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even referrals that might just land you that interview.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your ML infrastructure knowledge and be ready to discuss your past projects in detail. Practice coding challenges that reflect real-world problems, not just textbook scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Synthesia team!
We think you need these skills to ace Senior ML Engineer, Dubbing in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior ML Engineer role. Highlight your experience with ML infrastructure and quality measurement systems, as this is what we’re really looking for!
Showcase Your Projects:Don’t just list your skills; give us examples of projects you’ve worked on that relate to the job. We love seeing how you’ve tackled real-world problems, especially in ML and translation quality.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Synthesia
✨Know Your ML Infrastructure
Make sure you brush up on your knowledge of machine learning infrastructure and evaluation systems. Be ready to discuss your hands-on experience in designing and scaling these systems, as this is crucial for the role.
✨Showcase Your Collaboration Skills
Since the role involves working cross-functionally, prepare examples that highlight your ability to partner with different teams. Think about past projects where you successfully aligned goals and delivered results together.
✨Prepare for Technical Challenges
Expect a live coding interview that focuses on real-world problems rather than theoretical questions. Practise coding challenges that relate to ML pipelines and quality measurement systems to demonstrate your practical skills.
✨Understand the Company Culture
Familiarise yourself with Synthesia's work principles and culture. Be ready to discuss how your values align with theirs, especially around building and empowering teams to work efficiently without distractions.
