Goodfire
About Goodfire
Behind our name: Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire.
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems. We believe that deep research breakthroughs are necessary to make this possible.
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’ve raised $59M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten.
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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 Machine Learning Engineer (Life Sciences) to help build our platform for training, evaluating, and deploying interpretable frontier AI systems, with an emphasis on scientific and biological foundation models(e.g., genomic foundation models, protein language models, vision models for digital pathology).
Where you might contribute:
- Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned.
- Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Key responsibilities:
- Productionize interpretability research into maintainable tools, APIs, and workflows that work on real models and real scientific data.
- Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
- Prototype techniques to visualize and manipulate internal model structures.
- 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
- Experience with biological / life sciences ML (computational biology, bioinformatics, digital pathology, protein/genomics, multimodal biomedical data).
- Open-source ML infrastructure 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 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 - $400,000 USD (depending on level and scope).
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.
Ready to apply?
Apply to Goodfire
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.
Ready to apply?
Apply to Goodfire
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
Scientific AI models trained to model natural systems are revolutionizing research across scientific domains, including protein interaction prediction, protein design, disease prediction, and materials discovery. We’re looking for a Forward Deployed Research Scientist (Biology) to join our team to work directly with customers to develop new techniques for understanding and designing large biological foundation models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
- Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned.
- Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Key Responsibilities:
- Work directly with customers to conduct original research in interpretability and computational biology.
- Prototype techniques to visualize and manipulate internal model structures.
- Collaborate with engineering to turn research into production-ready tools.
- Drive partnership success by collaborating closely with our customers and partners.
- Help define and evolve our research direction.
What you’ll bring
Required experience
- PhD/MD or equivalent experience in biology, with a strong ML background and experience in computational biology or bioinformatics.
- Deep familiarity with large models and a passion for understanding how they work.
- Fluency in Python and ML frameworks such as PyTorch.
- Strong writing and communication skills for explaining complex ideas.
- Drive to move quickly and take ownership.
Preferred qualifications
- Experience leading research in a forward deployed environment and in service of a customer’s requirements.
- Familiarity with interpretability, alignment, or safe model development.
- Experience in startup or fast-paced lab environments.
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 $220,000 - $315,000 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.
Ready to apply?
Apply to Goodfire
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 Research Scientist to join our team and develop new techniques for understanding and steering large AI models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
- Interpretability mechanisms – Foundational research on how models represent and process information.
- Moonshots – High-upside bets on novel techniques that could unlock breakthroughs in model understanding.
- Applied research & usability – Translating research into tools for real-world users and enterprise applications.
We’ll determine your pod placement during the interview process based on your background and interests.
Key responsibilities:
- Conduct original research in interpretability and related fields.
- Prototype techniques to visualize and manipulate internal model structures.
- Collaborate with engineering to turn research into production-ready tools.
- Share your work through publications, demos, and open-source contributions.
- Help define and evolve our research direction.
What you’ll bring
Required experience
- PhD or equivalent experience in ML, computer science, or a quantitative science.
- Deep familiarity with large models and a passion for understanding how they work.
- Fluency in Python and ML frameworks such as PyTorch.
- Strong writing and communication skills for explaining complex ideas.
- Drive to move quickly and take ownership.
Preferred qualifications
- Experience leading research or contributing to open-source codebases.
- Familiarity with interpretability, alignment, or safe model development.
- Experience in startup or fast-paced lab environments.
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 - $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.
Ready to apply?
Apply to Goodfire
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.
Ready to apply?
Apply to Goodfire