3 months ago

Member of Technical Staff (Data Intelligence)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Join a data-centric role focused on defining data quality for large-scale model training, building data pipelines, and owning the data stack tooling (GitHub, Python, PyTorch) to enable petabyte-scale data processing and reproducible experiments.

Location: United States, United Kingdom, Singapore

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define what “good data” means for models, including quality metrics, validation checks, and acceptance thresholds
•Explore open source datasets and create internal ones suitable for building 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 to ensure reproducibility of training and evaluation runs
•Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows

Key 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: 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)

Experience:Machine learningDeep learningData infrastructureDistributed processingProduction engineering

Skills:Problem-solvingCommunicationTeamworkCollaboration

Tech Stack:PythonPyTorchGitHubSparkRayAirflow

Company Brief

Reka

Develops AI-driven software and tooling to accelerate development, testing, and deployment of machine learning models and automation for product teams and enterprises. Offers platforms and integrations aimed at improving model reliability, iteration speed, and production readiness.

Industry: Developer Tools

Website

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Reka

3 months ago

Member of Technical Staff (Data Intelligence)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States, United Kingdom, Singapore

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define what “good data” means for models, including quality metrics, validation checks, and acceptance thresholds
•Explore open source datasets and create internal ones suitable for building 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 to ensure reproducibility of training and evaluation runs
•Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows

Key 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: 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)

Experience:Machine learningDeep learningData infrastructureDistributed processingProduction engineering

Skills:Problem-solvingCommunicationTeamworkCollaboration

Tech Stack:PythonPyTorchGitHubSparkRayAirflow

Company Brief

Reka

Industry: Developer Tools

Website