Platform - Member of Technical Staff
- Pay
- $200,000 – $400,000 per year
- Location
- San Francisco, CA
- Listed
- 31 days ago
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.
What we offer
- This role offers market competitive salary, equity, and competitive benefits.
- The expected salary range for this position is $200,000-$400,000 USD.
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory - we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now.
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 DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.
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 ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.
Take ownership and initiative
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we're building.
Action today
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.
Where we work
We are hiring for this position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.
From Goodfire's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Platform - Member of Technical Staff role at Goodfire?
The Platform - Member of Technical Staff posting at Goodfire states compensation of $200,000 – $400,000 per year. Final pay may depend on location, experience, and interview evaluation on Goodfire's official career site.
Where is the Platform - Member of Technical Staff job at Goodfire located?
This Platform - Member of Technical Staff position at Goodfire is located in San Francisco, CA. Always check Goodfire's application page for specific state eligibility or relocation policies.
How do I apply for the Platform - Member of Technical Staff position at Goodfire?
This listing links directly to Goodfire's Greenhouse application page. You can apply directly on Goodfire's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.