At a Glance
- Tasks: Join the Data team to manage and enhance datasets for cutting-edge research.
- Company: Innovative tech company focused on data-driven solutions.
- Benefits: Competitive salary, stock options, hybrid work, and 25 days annual leave.
- Other info: Collaborative culture with opportunities for social events and career growth.
- Why this job: Make a real impact on AI by improving model performance with high-quality data.
- Qualifications: Experience in applied Machine Learning and excellent Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
About the role
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.
- Nice to have if you have experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines.
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.
Research Engineer in Data employer: Synthesia
At Synthesia, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI technologies, making every day at Synthesia both meaningful and rewarding.
