Member of Technical Staff (Data Intelligence)

The role

You will work with model researchers and data infrastructure engineers to ensure high quality data is produced at petabyte scale. You will build processing pipelines, run compute, and help ensure models are trained on the best data.

What you will do

• Work with model researchers to define quality metrics, validation checks, and acceptance thresholds
• Explore open source datasets and create internal ones for World Models
• Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation
• Track datasets, metadata, provenance, and versions for reproducible experiments
• Own CI/CD and development tooling for the data stack
• Automate repetitive workflows to reduce friction
• Track and optimize throughput, storage, and compute utilization

Required qualifications

• Strong ML and deep learning fundamentals with experience building and operating large-scale data and/or compute systems
• Comfortable moving between research questions and production engineering
• Demonstrated 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
• Familiarity with the tooling around modern model training workflows (datasets, checkpoints, experiment tracking)
• Strong instincts around data quality
• Able to work in a fast-moving environment, prioritize what matters, and communicate clearly

Nice to have

• experience with large video datasets
• dataset curation for training
• building internal tooling for evaluation/analysis in ML environments

Benefits

• 5 weeks of paid leave
• comprehensive healthcare benefits including vision and dental
• additional perks that support your well-being

Before you apply

• We provide visa assistance, including H1B and OPT transfers, for US employees

About the company

Reka is a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Their mission is to build useful multimodal artificial intelligence to empower organisations and businesses.