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Overview
Goodfire is an AI interpretability research company focused on understanding and designing AI systems you can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems.
News
Get Silico - Individuals
Run long-horizon, asynchronous experiments on frontier infrastructure and compute.
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Report
Report
Neural Geometry in Vision Models with Block-Sparse Featurizers
We introduce Block-Sparse Featurizers (BSF), a family of methods to decompose a model's activations into multidimensional subspaces rather than single directions. Applied to vision models, we find that BSFs find interpretable, multidimensional features wh
Read more
Report
Neural Geometry in Vision Models with Block-Sparse Featurizers
We introduce Block-Sparse Featurizers (BSF), a family of methods to decompose a model's activations into multidimensional subspaces rather than single directions. Applied to vision models, we find that BSFs find interpretable, multidimensional features wh
Read more
Report
Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train
Given a preference dataset, we can accurately predict which behaviors RL will amplify or suppress before you train, trace them back to the responsible data, and reshape the dataset and/or training process to prevent undesired effects.
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Report
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Technologies
Tech DNA
Python
PyTorch
AWS
Azure
GCP
AI/ML
Python
OpenAI
PyTorch
JAX
Fine-tuning
AWS
Azure
CI/CD
GCP
Other
HIPAA
SOC 2
Least Privilege
Stack modernity
71/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
OpenAI
9 jobs
Required
$400k
+60% vs market
PyTorch
6 jobs
Required
$400k
+78% vs market
Python
5 jobs
Required
$400k
+122% vs market
JAX
2 jobs
Required
$388k
+41% vs market
GCP
1 job
Required
$400k
+111% vs market
Azure
1 job
Required
$400k
+139% vs market
CI/CD
1 job
Required
$400k
+150% vs market
AWS
1 job
Required
$400k
+116% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
16%
CI/CD
15%
GCP
12%
Azure
12%
PyTorch
7%
Share of companies in the same industry that use each technology.
Stack changes
Least Privilege
Aug 2026
OpenAI
Aug 2026
SOC 2
Aug 2026
HIPAA
Aug 2026
GCP
Aug 2026
CI/CD
Aug 2026
Azure
Aug 2026
AWS
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Salary insights
Compensation ranges based on this company's open jobs
Median
$400k
Typical range
$300k – $450k
Open positions
8
4
Jobs
Senior
25%
Staff
25%
Architect
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $400k | $400k |
| Staff | 1 | $325k | $325k |
| Architect | 2 | $425k | $400k – $450k |
Highest paying role
Head of Engineering, Platform
$450k
Normalized to USD per year
Growth
Hiring Momentum
58/100
Growing
Open positions
9
0 opened / 0 closed in 30 days
ATS activity
Every ~18 hours
08/31/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
50% ▲
Product
50% ▼
Activity Timeline
Added Least Privilege to stack
Aug 2026
Added OpenAI to stack
Aug 2026
Added SOC 2 to stack
Aug 2026
Added HIPAA to stack
Aug 2026
Added GCP to stack
Aug 2026
Added CI/CD to stack
Aug 2026
Added Azure to stack
Aug 2026
Added AWS to stack
Aug 2026
Added JAX to stack
Aug 2026
Added Fine-tuning to stack
Aug 2026
Added PyTorch to stack
Aug 2026
Added Python to stack
Aug 2026
Jobs
$203k – $406k per year • In office • PhD • London
Python
PyTorch
OpenAI
Apply
≈ $84k – $218k per year (Estimated) • In office • 2+ years exp • San Francisco
OpenAI
Apply
$175k – $300k per year • In office • San Francisco
OpenAI
Apply
$250k – $400k per year • In office • 7+ years exp • San Francisco
OpenAI
DevOps
AWS
Azure
CI/CD
GCP
Cybersecurity
HIPAA
SOC 2
Least Privilege
Apply
$200k – $400k per year • In office • PhD • San Francisco
Python
PyTorch
OpenAI
Apply
$200k – $400k per year • In office • 5+ years exp • San Francisco
Python
PyTorch
OpenAI
Apply
$300k – $450k per year • In office • 10+ years exp • San Francisco
JAX
PyTorch
OpenAI
Apply
$220k – $315k per year • In office • PhD • San Francisco
Python
PyTorch
OpenAI
Apply
$200k – $325k per year • In office • San Francisco
Python
Fine-tuning
JAX
PyTorch
OpenAI
Apply

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