Runway
Member of Technical Staff, Research Tooling & Data Platform
Runway
$240k - $290k
Remote, North America and Europe
TypeScript
Python
PyTorch

Member of Technical Staff, Research Tooling & Data Platform

Overview

Runway is building AI to simulate the world through merging art and science. They are looking for an engineer to own their internal exploratory data analysis (EDA) and evaluation platform.

Job Description

Runway is at the frontier of progress in artificial intelligence, focusing on world models that simulate the world and learn from their mistakes. They aim to change how stories are told, how scientific progress is made, and how the next frontiers of humanity are reached.

Responsibilities

  • - Own the EDA platform end-to-end: Take full ownership of architecture, infrastructure, feature development, and operations
  • - Optimize for scale: Improve query performance and write efficiency for vector search, integrate with new data warehouses, and optimize our custom query parsing/suggestion system
  • - Build for researchers: Design and ship features that help ML researchers source data faster, run more effective evaluations, and iterate quickly
  • - Enable cross-functional users: Work with design, product, and creative teams to build intuitive evaluation workflows
  • - Manage infrastructure: Deploy and maintain services across ECS and Kubernetes, including embedding services and database integrations
  • - Provide support: Be responsive to user needs, debug issues quickly, and gather feedback to prioritize improvements

Required Skills

  • - 4+ years of industry experience in a backend focused software engineering role
  • - Strong experience in at least 2 of 3 areas (platform/infrastructure, ML domain knowledge, frontend/product engineering) with eagerness to learn the third
  • - Platform/infrastructure: experience with vector databases, cloud primitives (i.e. SQS, ECR, Kinesis) and container orchestration (Kubernetes, ECS)
  • - ML domain knowledge: Understanding of ML workflows, model training, evaluation, testing, dataset management, feature engineering, or research tooling
  • - Product engineering: Ability to build clean, intuitive user experiences with product thinking and user empathy
  • - Comfortable setting up and maintaining production infrastructure and services
  • - Self-starter who can navigate ambiguity and make pragmatic technical decisions
  • - Humility and open mindedness; at Runway we love to learn from one another

Benefits

  • - Competitive salary based on market rates
  • - Opportunity to work with a diverse and talented team
  • - Commitment to pay equity and equal opportunity

About the company

Runway builds AI to simulate the world by merging art and science. Runway believes that world models represent the frontier of progress in artificial intelligence. Language models alone are insufficient to solve the world’s hardest problems—such as robotics, disease, and scientific discovery. Meaningful progress requires models that can experience the world and learn from their mistakes, in much the same way humans do. Runway focuses on accelerating this learning through simulation rather than real-world trial and error. By enabling rapid experimentation in simulated environments, world models provide a clear path toward general-purpose simulation and more capable AI systems. Runway operates offices in New York, San Francisco, Seattle, London, and Tel Aviv, with team members working remotely from around the world.


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