Platform - Member of Technical Staff

About Goodfire

Goodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.

We believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.

Goodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google Deep Mind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.

About the role

We’re looking for Platform Engineers to build the infrastructure and services behind Goodfire’s interpretability platform. You’ll help researchers and engineers run experiments, work with model data, and bring new capabilities into production.

You’ll build shared systems for model analysis, training, inference, and monitoring, making them reliable, reproducible, and straightforward to use. Working closely with researchers, ML engineers, and product engineers, you’ll turn evolving research workflows into platform capabilities that support both internal research and customer products.

What you’ll do

• Build shared services and APIs: create the foundations that research tools and customer products use to launch work, access data, and retrieve results.
• Support compute-intensive workflows: build systems for scheduling, tracking, and recovering long-running experiments and model workloads.
• Make data and artifacts usable: develop pipelines and storage interfaces for datasets, model activations, checkpoints, and evaluation results, with clear provenance and reproducibility.
• Own production reliability: improve deployment, observability, performance, and failure recovery across platform services.
• Improve developer experience: make it easier for researchers and engineers to develop, test, and ship new capabilities without rebuilding infrastructure for each project.

We’ll work with you to determine the initial area of ownership that best matches your experience and strengths.

What you’ll bring Required experience

• 2+ years of experience building and operating production software.
• Strong backend or systems engineering fundamentals, with depth in areas such as distributed systems, data infrastructure, cloud infrastructure, or developer tooling.
• Experience owning a service or infrastructure component through development, deployment, and ongoing operation.
• Ability to debug failures and reason about performance, reliability, and maintainability across system boundaries.
• Comfort translating evolving research and engineering needs into practical technical solutions.
• Interest in understanding how AI models work and building the systems that make that understanding useful.

Preferred qualifications

• Experience supporting ML training, inference, evaluation, or research workflows.
• Experience with job orchestration, GPU workloads, or large-scale data processing and storage.
• Experience building shared infrastructure or developer tools used by other engineering teams.
• Startup or frontier lab experience in fast-moving teams.

Our values

Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

Put mission and team first

All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

Improve constantly

We are constantly looking to improve every piece of the business. We proactively critique…