Member of Technical Staff (Data Intelligence)

Job summary

Responsibilities

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

• Work with model researchers to define what “good data” means for our models, including quality metrics, validation checks, and acceptance thresholds
• Explore open source datasets and create internal ones most suitable to build fundamental World Models
• Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation from synthetic to real data.
• Track datasets, metadata, provenance, and versions so experiments are reproducible and it’s clear what data went into which training and evaluation runs
• Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows to reduce friction

What they're looking for

• 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: you can dig into data, run analyses, and also ship reliable systems
• 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)

Tech stack

• Python
• PyTorch
• Spark
• Ray
• Airflow