← Back to results

Product Engineer

Join Goodfire as a Product Engineer to build user-friendly AI systems with a focus on interpretability and product development.

Location
San Francisco, CA
Compensation
Not disclosed
Level
mid
Type
full time · On-site

Posted by employer 3 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Goodfire → Save job Scanned from goodfire.ai

Skills & Technologies

AI in the day-to-day

Goodfire is focused on building interpretable AI systems, translating research into usable product features.

Requirements

Experience
2+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

Equity/Stock Options

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

Quick facts

Is the Product 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 Product 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 Product Engineer role at Goodfire.

From the original posting

About Goodfire

Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.

Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.

We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.

Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.

About the role

We're looking for Product Engineers to help build the core product experience for training, evaluating, debugging, and deploying interpretable AI systems at scale. You'll play a central role in turning Goodfire's research and platform capabilities into products that people can actually use: clear interfaces, reliable workflows, developer tools, and product surfaces that make model internals understandable and actionable.

This role is similar to our Machine Learning Engineer role, but with a stronger focus on core product building. You will work across engineering, design, research, and field teams to translate state-of-the-art interpretability into robust product features, from early prototypes through production systems used by customers.

Where you might contribute

  • Product surfaces: build the interfaces, workflows, and developer experiences
  • Research-to-product translation: turn new interpretability techniques into usable features that are reliable, explainable, and easy to adopt
  • Customer workflows: build product paths that support real-world use cases across evaluation, model understanding, intervention, monitoring, and deployment
  • Platform integration: connect product features to the underlying infrastructure for model analysis, training, inference, and experimentation

We'll work with you to determine the team and product area that best aligns with your strengths.

Key responsibilities

  • Turn cutting-edge interpretability research into production-ready product features: partner with researchers and ML engineers to make new capabilities usable in the product
  • Build high-quality product experiences: own full-stack features, APIs, workflows, and interfaces from ambiguous idea to shipped product
  • Create product systems that are reliable and fast: ensure the product is performant, reproducible, observable, and stable enough for real customer use
  • Shape product direction through engineering judgment: identify obvious fixes, propose better workflows, and help decide what Goodfire should build next

What you’ll bring

Required experience

  • 2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products.
  • Strong engineering fundamentals and ability to work across the stack, with depth in at least one of frontend, backend, systems, or product infrastructure.
  • Strong product judgment; you care about making powerful technical systems feel clear, reliable, and easy to use.
  • Comfort working across research, engineering, design, and customer-facing teams.
  • You care about understanding how models work internally and using that understanding to make AI systems more reliable and useful in the real world.

Preferred qualifications

  • Experience building products for technical users, developers, researchers, ML engineers, or infrastructure teams.
  • Startup or frontier lab experience in fast-moving 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 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.

What we offer

This role offers market competitive salary, equity, and competitive benefits.

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.

Similar positions

Goodfire
Machine Learning Engineer
Goodfire · San Francisco, CA & New York, NY
Goodfire
Product Marketing Lead
Goodfire · San Francisco, CA
Goodfire
Forward Deployed Research Scientist
Goodfire · San Francisco, CA
Goodfire
Head of Engineering, Platform
Goodfire · San Francisco, CA
Goodfire
Technical Product Marketing Manager (TPMM)
Goodfire · San Francisco, CA