At a Glance
- Tasks: Join our Data team to manage and enhance large-scale video and audio datasets.
- Company: Synthesia, a leading AI video communications platform transforming content creation.
- Benefits: Competitive salary, stock options, hybrid work, and 25 days annual leave.
- Why this job: Be part of the AI revolution and make a real impact in video production.
- Qualifications: Experience in Computer Science, deep learning, and strong Python skills required.
- Other info: Dynamic culture focused on building and innovation with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Senior Research Engineer - Data role at Synthesia. 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.
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. In February 2024, G2 named us the fastest growing company in the world. Today, we’re at a $2.1 bn valuation and we recently raised our Series D. This brings our total funding to over $330 M 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.
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 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
Job Details:
- Seniority level: Mid‑Senior level
- Employment type: Full‑time
- Job function: Engineering and Information Technology
- Industry: Software Development
Senior Research Engineer - Data employer: Synthesia
Contact Detail:
Synthesia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer - Data
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data engineering or machine learning. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching Synthesia and its products. Understand their mission and how your role as a Senior Research Engineer fits into their vision. It’ll impress them and show you’re genuinely interested.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on joining the Synthesia team!
We think you need these skills to ace Senior Research Engineer - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Research Engineer - Data role. Highlight your experience in deep learning, Python skills, and any relevant projects that showcase your ability to work with large-scale data. We want to see how you fit into our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and video technology. Share specific examples of how your background aligns with our goals at Synthesia. Let us know why you’re excited to join our team!
Showcase Your Projects: If you've worked on any projects involving video, audio, or large datasets, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our amazing 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 Synthesia works with, especially video and audio. Brush up on your knowledge of large-scale data processing and how it relates to machine learning. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the concepts but have practical insights to offer.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to writing clean, maintainable code. Practising common coding challenges beforehand can help you feel more confident during the interview.
✨Understand Their Mission
Synthesia is all about making video easy for everyone. Familiarise yourself with their products and the impact they have on communication and knowledge sharing. Being able to articulate how your background aligns with their mission will make you stand out as a candidate who truly gets what they’re about.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions. Ask about the team dynamics, the challenges they face with data, or how they envision the future of AI in their products. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.