Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Data team to manage and enhance video and audio datasets for AI models.
- Company: Synthesia, a fast-growing AI video communications platform valued at $2.1bn.
- Benefits: Competitive salary, stock options, hybrid work, 25 days leave, and a vibrant company culture.
- Why this job: Be part of the AI revolution and shape the future of video content creation.
- Qualifications: Background in Computer Science or ML, strong Python skills, and passion for data.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
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:
The Data team manages the complete lifecycle of data for researchers – from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.
This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position. You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.
What we\’re looking for:
- Background in Computer Science, Computer Vision, or Audio ML
- Experience working in deep learning teams and production environments
- Strong Python skills and a passion for clean, maintainable code
- Hands-on experience with workflow orchestration
- Interest in large-scale, non-tabular data (video, audio, images)
Bonus point if you have experience in:
- Processing large volumes of data in the video and/or audio domain
- Working on the data side of a GenAI product
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.
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
Lead Research Engineer - Data employer: Synthesia
Contact Detail:
Synthesia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Research Engineer - Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Synthesia. A friendly chat can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to data engineering or ML, make sure to highlight them during interviews. We love seeing what you can do!
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and deep learning concepts. We want to see how you think and solve problems, so practice coding challenges beforehand.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Synthesia.
We think you need these skills to ace Lead Research Engineer - Data
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and video technology shine through. We love candidates who are genuinely excited about the field and can articulate why they want to join us at Synthesia.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Lead Research Engineer role. Highlight your experience with data engineering, deep learning, and any relevant projects that showcase your skills. We want to see how you fit into our mission!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate clarity, and it helps us understand your qualifications better.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at Synthesia.
How to prepare for a job interview at Synthesia
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you'll be working with, especially video and audio. Brush up on your experience with large-scale data processing and be ready to discuss specific projects where you've enhanced model performance through high-quality datasets.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. Bring examples of clean, maintainable code you've written, and be ready to solve a coding challenge during the interview to showcase your problem-solving skills.
✨Understand Their Mission
Familiarise yourself with Synthesia's mission to simplify video production. Be prepared to discuss how your background in Computer Science or ML aligns with their goals, and think about how you can contribute to building their human-centric data lake.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s culture and future direction. Inquire about their work principles, how they approach AI ethics, and what opportunities there are for growth within the Data team. This will demonstrate your genuine interest in being part of their journey.