Research Engineer in Data
Synthesia is an active London-based enterprise AI video platform that lets businesses create, localize, manage, and publish videos using AI avatars and voiceovers.
Funding history
About Synthesia
Synthesia Limited provides browser-based AI video creation for business communications, training, sales enablement, marketing, and support. Its platform includes AI-assisted creation, avatars, voiceovers, translation/localization, collaboration, and publishing workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will manage and improve the data lifecycle for research, from sourcing and processing to dataset delivery. You will work with video and audio data, collaborate with model-training teams, create features and annotations, and enhance data pipelines and long-term strategy.
Requirements
- Data-centric applied machine learning experience
- Experience improving model performance through data quality, curation, labeling, and evaluation
- Experience with image, video, or audio generative AI data
- Python
- Clean, maintainable, and well-tested code
Responsibilities
- Build and improve human-centric data lakes
- Collaborate with model-training teams to understand data requirements
- Extract features and annotations for datasets
- Improve model performance through data quality, curation, labeling, and evaluation
- Enhance data infrastructure and pipelines
- Influence longer-term data strategy
Benefits
- Stock options
- Bonus
- Hybrid work or remote work in Europe
- 25 days of annual leave plus public holidays
- Regular planning and social events at hubs