At a Glance
- Tasks: Manage data lifecycle and build scalable pipelines for cutting-edge AI projects.
- Company: Join Synthesia, a leader in generative AI and innovative tech.
- Benefits: Enjoy hybrid/remote work, competitive salary, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and data quality.
- Why this job: Be at the forefront of AI, working with vast video and audio datasets.
- Qualifications: Experience in data engineering and a passion for machine learning.
The predicted salary is between 70000 - 90000 Β£ per year.
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.
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Data Engineer for Generative AI Data Lakes (Hybrid/Remote) employer: SLAMcore
At SLAMcore, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our supportive work culture fosters personal and professional growth, offering ample opportunities for career advancement while ensuring a meaningful impact on our users' experiences. Located in a vibrant tech hub, we provide a dynamic environment where your contributions are recognised and celebrated, making every day rewarding.