Data Engineer for Generative AI Data Lakes (Hybrid/Remote)

SLAMcore; United Kingdom; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Stock options

Hybrid work in Europe

25 days annual leave

Job summary

Synthesia is seeking a Data role at the intersection of applied research, data engineering, and ML infrastructure. You will manage the data lifecycle for researchers, working with over a million hours of video and audio data to power model improvements and new features.

The role emphasizes data quality, annotation, and scalable pipelines in a hybrid Europe setting. You will collaborate closely with model training teams to build a world-class data lake and drive longer-term data strategy.

Qualifications

• Experience delivering data quality, curation, labeling and evaluation to improve model performance.
• Hands-on experience building data layers for Generative AI products (images, video, audio).
• Strong Python skills with clean, maintainable, well-tested code.

Responsibilities

• Own the complete data lifecycle for researchers, from sourcing to delivery of datasets.
• Collaborate with model training teams to build a world-class data lake and feature annotations.
• Improve dataset quality and evaluation to elevate model performance.
• Design and operate data pipelines and workflows at large scale to support research needs.

Skills

Data-centric ML

Generative AI data pipelines

Python programming

Workflow orchestration

Large-scale data processing

Job description

Synthesia is seeking a Data role at the intersection of applied research, data engineering, and ML infrastructure. You will manage the data lifecycle for researchers, working with over a million hours of video and audio data to power model improvements and new features.

The role emphasizes data quality, annotation, and scalable pipelines in a hybrid Europe setting. You will collaborate closely with model training teams to build a world-class data lake and drive longer-term data strategy.