Research Engineer in Data

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. This role sits at the intersection of applied research, data engineering, and ML infrastructure, focusing on building a human-centric data lake. You will collaborate with model training teams to extract new features and annotations that elevate dataset quality and model performance.

Responsibilities

• Build and maintain a human-centric data lake for research purposes.
• Collaborate with model training teams to understand requirements and extract new features.
• Enhance model performance through high-quality data curation, labeling, and evaluation.
• Influence the team’s longer-term data strategy and infrastructure development.

Required skills

• Machine Learning
• Data Engineering
• Generative AI
• Python
• Data Curation
• Data Labeling

Nice to have

• Workflow orchestration
• Data processing pipelines

Benefits

• Competitive compensation
• Stock options
• Bonus
• 25 days of annual leave
• Public holidays

About the Company

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company develops products to enhance visual communication and enterprise skill development.