# Member of Technical Staff, Research Tooling & Data Platform

**Company:** [Runway](https://hotfix.jobs/companies/runway)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $240k – $290k/yr
**Experience:** 4+ years
**Skills:** Kubernetes, ECS, TypeScript, React, AWS, S3, Cloudfront, AWS Lambda, Kinesis, SQS, PyTorch, Vector Databases, Terraform, Prometheus, Grafana
**Posted:** 2026-01-15

> Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.

## Job Description

## What you’ll do
- 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

## What you’ll need
- 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. **TypeScript/React** experience is a plus
- Comfortable setting up and maintaining production infrastructure and services
- Self-starter who can navigate ambiguity and make pragmatic technical decisions
- Humility and open mindedness

## Similar roles

- [Staff Engineer - Data Platform](https://hotfix.jobs/jobs/ea058798-f0ea-4705-8123-16f7d9599c05) - Haus - San Francisco, CA - $240k – $260k/yr
- [Senior Staff Data Engineer - Data & ML Platform](https://hotfix.jobs/jobs/0e5116a4-b08e-4dba-9004-65d721ab0434) - Hinge Health - San Francisco, CA - $240k – $360k/yr
- [Staff Analytics Engineer — Data Warehouse](https://hotfix.jobs/jobs/e5a5443f-494d-4f23-a257-c106d0e1c0d4) - Together AI - San Francisco, CA - $240k – $275k/yr
- [Staff Data Warehouse Engineer](https://hotfix.jobs/jobs/69002d9b-aff1-44c9-b6f9-0938abff8f45) - Together AI - San Francisco, CA - $240k – $275k/yr
- [Member of Technical Staff, Data Infrastructure](https://hotfix.jobs/jobs/03b84637-a162-4db1-ba25-a5fad7d04a97) - Runway - Remote - $240k – $290k/yr

**Apply:** https://hotfix.jobs/jobs/72028e47-d63e-4286-9e1c-add3548bffae
**Canonical:** https://hotfix.jobs/jobs/72028e47-d63e-4286-9e1c-add3548bffae