Member of Technical Staff (Data Intelligence)

Data Co Lab X; San Francisco (CA); Híbrido; USD 180.000 - 280.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

5 weeks paid leave

Healthcare (vision & dental)

Visa assistance

Descripción de la vacante

Reka is seeking a Senior Member of Technical Staff to lead data intelligence for large-scale multimodal foundation-model training. You will define data-quality standards with researchers, curate datasets, and build automated quality methods.

You’ll own reproducibility, metadata, provenance tracking, CI/CD, and tooling for petabyte-scale data pipelines in a remote-first setting. The role blends applied ML research with production data infrastructure and distributed processing, requiring

Formación

• Strong ML fundamentals with production data stacks experience.
• Experience defining data-quality standards and provenance tracking.
• Ability to design scalable pipelines for petabyte-scale data and compute.

Responsabilidades

• Define data-quality metrics, validation checks, and acceptance thresholds.
• Collaborate with researchers to build datasets for multimodal foundation-model training.
• Own CI/CD and tooling for the data stack (GitHub, Python, PyTorch); automate workflows.
• Track datasets, metadata, provenance and versions to ensure reproducibility of experiments.
• Manage throughput, storage and compute across data pipelines and assets.

Conocimientos

Machine Learning

Deep Learning

Data Engineering

Data Quality

Distributed Processing

Python

PyTorch

Spark

Ray

Airflow

Herramientas

Spark

Ray

Airflow

GitHub

Descripción del empleo

Reka# Member of Technical Staff (Data Intelligence)Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRemote from: UK, USA, SingaporeSalary: UndisclosedDepartment: Data Science & AnalyticsEmployment: Full TimeExperience: SeniorPublished: 21 Oct 2026Apply before: 21 Nov 2026Listing views: 488Application actions: 26Application toolkit## Make your next move.Prepare your resume, explore your fit, and draft a cover letter for this opportunity.AI Summary## The role, at a glance.This Member of Technical Staff role focuses on data intelligence for large-scale multimodal foundation-model training. The hire will define data-quality standards with researchers, curate and assess datasets, and build automated methods for quality evaluation, domain mixtures, and synthetic-to-real adaptation. They will also own reproducibility, metadata and provenance tracking, CI/CD, and operational tooling for petabyte-scale data and compute pipelines. The position combines applied ML research with production data infrastructure, distributed processing, and cross-functional collaboration in a remote-first startup environment.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity5/5EasyHard### Pace & Pressure5/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load4/5IndependentCollaborative**AI insight**The role requires deep ML knowledge alongside hands-on ownership of reliable, petabyte-scale data systems and experimental methodology. Success depends on independently translating research needs into scalable tooling while balancing quality, compute, storage, reproducibility, and delivery speed.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (period not specified)**$220,000**US market range (period not specified)**$180k–$280k****AI insight**Salary comparison is unavailable: the pay periods are unspecified or differ, or salary amounts are unavailable. Market figures are AI estimates. The employer pay period must be confirmed before comparison. Regenerate the analysis to obtain a market estimate with an explicit period.## Core skillsSkills and capabilities most closely associated with this opportunity.Machine LearningDeep LearningData EngineeringData QualityDistributed ProcessingPythonPyTorchSparkRayAirflow**Sample interview questions**Opportunity details## About this role.In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines and running the compute behind them, you’ll help ensure our models are trained on the best data we can get.### What you’ll do* 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* Track and optimize throughput, storage, and compute utilization across pipelines and related assets### What we’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)* Solid Python skills, and familiarity with the tooling around modern model training workflows (datasets, checkpoints, experiment tracking)* Strong instincts around data quality: how to measure it, how to monitor it, and how to prevent regressions as things scale* Able to work in a fast-moving environment, prioritize what matters, and communicate clearly with both researchers and engineers* Bonus: experience with large video datasets, dataset curation for training, or building internal tooling for evaluation/analysis in ML environments### **Reka’s Mission**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. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.### **Why Reka?*** **An Elite Team**: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.* **Massive Market Opportunity**: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.* **Mission-Driven Environment**: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.* **Inclusive and Open Culture**: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.* **Generous Benefits**: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.* **Visa Support**: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.