Joblaze summary

In the role of Product Engineer at Goodfire, the individual will focus on developing user-friendly interfaces and workflows for training and deploying interpretable AI systems. This position requires strong engineering skills across the stack, particularly in building reliable, data-intensive products that translate complex research into practical applications. Ideal candidates will have at least two years of experience in production software, especially in AI or ML contexts, and a passion for making advanced technology accessible and understandable. Goodfire's team comprises top researchers and engineers, fostering a collaborative environment aimed at advancing AI interpretability.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Goodfire's careers page October 29, 2026.
AI/ML appears in 32.5% of 151 comparable mid product roles in United States.

Quick facts

Is the Platform Engineer role remote?: No — this is an on-site role in San Francisco, CA.
How much experience is required?: At least 2 years of relevant experience for this Platform Engineer role.
Where is the role based?: Goodfire is hiring for this position in San Francisco, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?: Goodfire targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Platform Engineer role at Goodfire.

From the original posting

About Goodfire

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.

The expected salary range for this position is $200,000–$400,000 USD.

Standard company text repeated across Goodfire's postings is omitted here.

Platform Engineer