Research Engineer in Data

Synthesia; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work setting

25 days of annual leave

Great company culture

Job summary

A leading AI video company is seeking a Data Specialist to manage the lifecycle of data for researchers, enhancing model performance through quality datasets. The role involves building a human-centric data lake in collaboration with model training teams. Candidates should have a strong background in applied Machine Learning, excellent Python skills, and hands-on experience with data quality and workflow orchestration systems. This position offers competitive compensation and the flexibility of a hybrid work setting.

Qualifications

• Strong background in data-centric, applied Machine Learning.
• Hands-on experience with data quality and model performance.
• Excellent Python skills focusing on maintainable and well-tested code.

Responsibilities

• Manage the complete lifecycle of data for researchers.
• Build the world’s best human-centric data lake.
• Collaborate with model training teams to enhance datasets.

Skills

Data-centric, applied Machine Learning

Experience with Generative AI products

Excellent Python skills

Workflow orchestration systems

Job description

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 $2.1 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

• A strong background in data‑centric, applied Machine Learning, with hands‑on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone
• Experience working on the data layer of Generative AI products, particularly involving images, video, or audio
• Excellent Python skills, with a strong focus on writing clean, maintainable, and well‑tested code
• Hands‑on experience designing, building, and operating workflow orchestration systems and large‑scale data processing pipelines

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