Member of Technical Staff, Research Tooling & Data Platform
Remote$265kfull-timePosted 8mo ago
About the role
Building AI world models through simulation to advance scientific discovery, storytelling, and human progress. Responsible for developing and maintaining an internal platform for data analysis and evaluation used by ML research and creative teams.
Responsibilities
- Own the EDA platform end-to-end: architecture, infrastructure, features, and operations.
- Optimize for scale: improve query performance, integrate with data warehouses, enhance custom query systems.
- Build for researchers: develop features for data sourcing, evaluation, and iteration.
- Enable cross-functional users: collaborate to build intuitive evaluation workflows.
- Manage infrastructure: deploy and maintain services on ECS and Kubernetes, including database and embedding services.
- Provide support: troubleshoot issues, gather feedback, and prioritize improvements.
Qualifications
- 4+ years of industry experience in a backend software engineering role.
- Strong experience in at least 2 of 3 areas: platform/infrastructure, ML domain knowledge, frontend/product engineering.
- Experience with vector databases, cloud primitives (SQS, ECR, Kinesis), container orchestration (Kubernetes, ECS).
- Understanding of ML workflows, model training, evaluation, testing, dataset management, feature engineering, or research tooling.
- Ability to build clean, intuitive user experiences; TypeScript/React experience is a plus.
- Experience setting up and maintaining production infrastructure.
- Self-starter, pragmatic decision-maker, humble, and open-minded.
Skills
Required:Backend software developmentCloud infrastructure and orchestrationML workflows and tooling
Nice to have:Product engineering and user experienceTypeScript/React
Last updated Apr 6, 2026. Interested? Apply on the company site.
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