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Jobs / AI / ML Researcher in United States of America
12 days ago
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Goodfire·12 days ago
12 days ago

Forward Deployed Research Scientist

San Francisco, United States of AmericaRemoteMid · 2-5 yearsAI / ML Researcher

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Must-have skills for this role

  • python
  • pytorch
  • machine learning
  • interpretability

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Apply faster with autofill FREEgoodfire uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Work directly with customers to conduct original research in interpretability.
  • 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 they're looking for

  • MS/PhD or equivalent experience in CS, with a strong ML background and experience in interpretability.
  • 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.

Nice to have

  • Experience leading research in a forward deployed environment and in service of a customer’s requirements.
  • Experience in startup or fast-paced lab environments.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.

About the role

We’re looking for a Forward Deployed Research Scientist to join our team to work directly with customers to apply our interpretability platform to solve novel problems for our customers. 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 research with our partners to interpret advanced models.
  • 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.

Key Responsibilities:

  • Work directly with customers to conduct original research in interpretability.
  • 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

  • MS/PhD or equivalent experience in CS, with a strong ML background and experience in interpretability.
  • 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.
  • 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.

Company

Goodfire
San Francisco, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Goodfire's careers site·first seen 8 Sept 2026·last verified 14 Sept 2026·How we source jobs

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