Reka AI
Member of Technical Staff (Data Intelligence)
US, UK, Singapore, Remote · Remote · Staff · Full-time · Posted May 14, 2026
- Visa sponsorship
- Visa assistance, including H1B and OPT transfers, for US employees.
About the job
Build and operate data systems, pipelines, and quality processes that provide reliable, high-quality training data for multimodal and World Models.
What you'll do
- Define data quality metrics, validation checks, and acceptance thresholds with model researchers; explore and create datasets.
- Develop automated data assessment, data-mixture, and synthetic-to-real domain adaptation algorithms; track dataset metadata, provenance, and versions.
- Own data-stack CI/CD and tooling, automate workflows, and optimize pipeline throughput, storage, and compute utilization.
What they ask for
- Strong ML and deep learning fundamentals, with experience building and operating large-scale data and/or compute systems.
- Research experience with data compositions, quality, and dataset releases; ability to design and execute experiments with convincing unbiased outcomes.
- Practical experience with distributed processing and orchestration (Spark, Ray, Airflow, or equivalents).
- Solid Python skills and familiarity with modern model-training workflow tools, including datasets, checkpoints, and experiment tracking.
Nice to have
- Experience with large video datasets, dataset curation for training, or internal tooling for evaluation or analysis in ML environments.
Tools
GitHub, Python, PyTorch, Spark, Ray, Airflow
AI focus
Develop data quality, data composition, and domain adaptation methods to improve data used to train multimodal and World Models.
Model-written summary · the original posting is authoritative