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Product Engineer
Goodfire · San Francisco, CA
Pay
$130k–220k
Setting
On-site
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Product Engineer
San Francisco, CA
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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.
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Field Team - Member of Technical Staff
Goodfire · San Francisco, CA
Pay
$200k–325k
Setting
On-site
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Field Team - Member of Technical Staff
San Francisco, CA
Apply
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 a Member of Technical Staff to join our Field Team and be the technical backbone of our customer engagements, the person who takes our interpretability platform and makes it work inside a partner's environment, end-to-end. This role demands strong engineering capability, the ability to learn new domains fast, the creativity to design solutions under real-world constraints, and the comfort to operate directly alongside customer engineering and research teams.
This is a hands-on, high-ownership role where you will be forward-deployed with our most strategic partners: writing production code, building integrations, running pilots, and owning technical delivery day-to-day.
This role turns frontier research into deployed reality. You will typically be working with deeply technical partners - Heads of AI, research teams, ML platform teams - across Life Sciences, Robotics and Vision, Language and Reasoning models, or new verticals, helping them integrate our platform into their model training stack.
Key responsibilities
Own technical delivery for partner engagements: build production-grade integrations of Goodfire's platform into customer environments — from API integrations and custom pipelines to internal tooling and evaluation workflows
Run pilots that prove value fast: design and execute creative, short-timeline pilots that demonstrate the platform's impact, often in parallel with or ahead of longer-term solution scoping
Embed with partner engineering teams: serve as the day-to-day technical point of contact, going deep in their codebase, understanding their infrastructure, and building trust through competence
Compound learnings across engagements: bring field insights back to the platform and research teams, identify repeatable patterns, and build shared tooling and playbooks that scale the Field Team
Bridge research and production: take novel interpretability methods from the Foundational Team and figure out how to make them work reliably in a partner's stack — this means being comfortable reading papers, prototyping new techniques, and hardening them for production use
What you’ll bring
Required experience
Strong software engineering skills with production experience in Python and modern ML frameworks (PyTorch, JAX).
Ability to work across research and engineering boundaries - you can understand a new technique and figure out how to ship it.
Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist "can-do" mindset.
Strong communication skills - you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
Preferred qualifications
Technical degree or equivalent professional experience within AI, ML, or a related field.
Experience in a forward-deployed, solutions, or customer-facing engineering role. Former technical founders encouraged to apply.
Track record of excellence in a high-growth startup or frontier AI lab.
Experience with large language models, including fine-tuning, evaluation frameworks, or agent development.
Familiarity with interpretability, mechanistic interpretability, or model internals (sparse autoencoders, feature steering, etc.).
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.
The expected salary range for this position is $200,000 - $325,000 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.
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Head of Engineering, Platform
Goodfire · San Francisco, CA
Pay
$300k–450k
Setting
On-site
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Head of Engineering, Platform
San Francisco, CA
Apply
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 a highly technical Head of Engineering to grow our core platform. At Goodfire, we believe that leaders need to be in the trenches with their team and that engineering leaders also need to be exceptional engineers. We're looking for someone who can do everything it takes to ensure our core platform’s success from developing clean software interfaces for public consumption, making large training runs go smoothly, and ensuring success with our customers and design partners. You’ll have extremely high ownership over a critical core of the business.
You'll also be responsible for recruiting outstanding machine learning engineers from top AI labs to work on our mission. The right candidate is someone with existing networks in the frontier AI community and a proven track record of attracting and retaining top technical talent in a competitive market.
Key Responsibilities
Be a Key Technical Contributor
Direct technical execution at the highest level is expected for all leaders.
Convert state-of-the-art research into scalable, product-grade tools with urgency.
Oversee infrastructure for model interpretability, training, and inference at frontier scale.
Build an Exemplary Engineering Team
Recruit, hire, and retain top machine learning engineers from leading AI research labs.
Develop and execute a hiring strategy that positions Goodfire as a destination for the best engineers in the field.
Foster a high-performance culture equipped to tackle some of the hardest problems in AI.
Own Outcomes End-to-End
Drive adoption of Goodfire's core platform.
Collaborate directly with customers and go-to-market teams.
Shape and reinforce Goodfire's culture and values as the company scales.
What You'll Bring
Required Experience
10+ years of engineering experience, with 5+ years in engineering leadership roles.
Demonstrated success building and scaling engineering teams at high-growth startups or frontier AI labs.
Exceptional track record recruiting machine learning engineers from top AI organizations.
Deep technical expertise in ML infrastructure, distributed systems, and large-scale model training.
Hands-on proficiency with PyTorch or JAX, modern ML tooling and inference engines.
Strong network within the AI/ML research and engineering community.
Genuine passion for AI safety, interpretability, and building systems that earn human trust.
Preferred Qualifications
Prior experience at a frontier AI lab or leading AI research organization.
Experience shipping ML products to enterprise or research customers.
Background in or familiarity with interpretability, alignment, or AI safety research.
Public presence in the AI community (publications, open-source contributions, speaking engagements).
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.
Expected salary range: $300,000 - $450,000 USD (commensurate with experience)
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, apply now.
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Listed by Goodfire for a position based in the United States. Employers on this board attest they are hiring domestically.
Security Architect
Goodfire · San Francisco, CA
Pay
$250k–400k
Setting
On-site
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Security Architect
San Francisco, CA
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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 a Security Architect to own IT and physical security operations at Goodfire. The stakes in AI development are extremely high, and we need to protect ourselves against sophisticated threats. In this role, you will lead our efforts to keep Goodfire secure against global risks.
This is a foundational role. Your responsibilities will include protecting our cloud infrastructure, securing company intellectual property, managing access to IT systems, and overseeing physical security for our offices. You will defend Goodfire against sophisticated actors seeking to infiltrate our systems.
This position reports directly to the CTO.
Where you'll contribute
Infrastructure & DevOps – Protecting our cloud environments, CI/CD pipelines, and production systems from attackers.
IT Operations – Centralizing endpoint security, identity and access management, and physical devices.
Physical Security – Leading office access controls, visitor management, and physical security measures appropriate for an AI research lab.
Security Culture – Building a security culture which is ready to protect the organization from state level threats.
Key responsibilities
Design and implement security controls across cloud infrastructure (research cluster, platform APIs).
Own identity and access management, including SSO, hardware authentication, and least-privilege access policies.
Manage endpoint security, device management, and IT systems.
Establish and maintain security monitoring, logging, and incident response capabilities.
Conduct security assessments and work with engineering teams to remediate vulnerabilities.
Develop and maintain security policies, documentation, and compliance frameworks.
Manage physical security systems including access controls and office security.
Respond to security incidents across all domains—digital and physical.
What you'll bring
Required experience
7+ years of experience in security engineering.
Strong foundation in cloud security (AWS, GCP, or Azure).
Experience with identity management, SSO, and access control systems.
Experience with compliance frameworks (SOC 2, HIPAA) relevant to enterprise customers.
Comfort operating as a generalist—you'd be happy jumping between configuring firewalls and setting up badge readers.
You can deeply own the protection of our people and systems.
Preferred qualifications
Experience at an early-stage startup or building security programs from scratch.
Background in ML infrastructure or familiarity with ML training workflows.
Physical security experience, including access control systems and facility security.
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.
The expected salary range for this position is $250,000 - $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.
Apply for this job
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Machine Learning Engineer
Goodfire · San Francisco, CA & New York, NY
Pay
$200k–400k
Setting
On-site
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Featured
Machine Learning Engineer
San Francisco, CA & New York, NY
Apply
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 Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You’ll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs.
Where you might contribute:
Interpretability tools – Building the tools and infrastructure to support understanding and intentional design of models at industry scale.
Training infrastructure – Extending and supporting our training infrastructure for large training runs.
Product – Turning state of the art interpretability research into robust, usable product features.
We'll work with you to determine the team that best aligns with your strengths.
Key responsibilities:
Turn cutting edge interpretability research into production ready tools.
Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
Integrate new machine learning workflows and pipelines into our product and deploy to customers.
Ensure system reliability, reproducibility, and performance.
What you’ll bring
Required experience
5+ years of experience in ML infra, research engineering, or systems programming.
Comfort working across research and engineering boundaries.
Expertise in Python, PyTorch or Jax, and distributed systems.
Experience deploying and maintaining ML systems at scale.
You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred qualifications
Open-source ML infra contributions.
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 both our San Francisco HQ and our New York office. 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.
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.
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