Member of Technical Staff (Data Intelligence)

Stack

Responsibilities

• ▹Define what "good data" means with model researchers, including quality metrics, validation checks and acceptance thresholds
• ▹Explore open source datasets and build internal ones suited to foundational World Models
• ▹Build algorithms for automated data quality assessment, data domain mixtures, and synthetic-to-real domain adaptation
• ▹Track datasets, metadata, provenance and versions for reproducible experiments
• ▹Own CI/CD and developer tooling for the data stack (GitHub, Python, PyTorch), automating repetitive workflows
• ▹Track and optimize throughput, storage and compute utilization across data pipelines

Requirements

• ▹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 and familiarity with modern model training tooling (datasets, checkpoints, experiment tracking)
• ▹Strong instincts for measuring and monitoring data quality and preventing regressions at scale
• ▹Ability to prioritize and communicate clearly with both researchers and engineers in a fast-moving environment

Nice to have

• ▹Experience with large video datasets
• ▹Experience with dataset curation for training
• ▹Building internal evaluation/analysis tooling in ML environments

Soft skills

What we offer

• ▹5 weeks of paid leave
• ▹Comprehensive healthcare including vision and dental
• ▹Visa support (H1B, OPT transfer) for US employees

About the company

Reka's mission is to build useful multimodal artificial intelligence to empower organisations and businesses. It's a globally distributed, remote-first foundation model startup headquartered in the San Francisco Bay Area, with a founding team drawn from Google DeepMind and Facebook AI Research (FAIR).