Apollo Research
apolloresearch.ai
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Overview
Apollo Research is an artificial intelligence safety organisation focused on deceptive model behaviour. Its evaluations test whether frontier models scheme or hide their intentions. The laboratory publishes interpretability research and advises policymakers on model risk.
News
'If you build something vastly smarter than you, it better be on your side': can we stop AI from deceiving us?
The long read: We are used to the idea that our fellow humans might intentionally mislead or manipulate us, but the idea that machines can now do the same is deeply unsettling. Researchers are racing to find solutions before it's too late
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Report
It May Be Time to Panic About AI
Bots are starting to conspire with one another. Can they be reeled back in?
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Report
Stress Testing Deliberative Alignment for Anti-Scheming Training
We partnered with OpenAI to assess frontier language models for early signs of scheming - covertly pursuing misaligned goals - in controlled stress-tests (non-typical environments), and studied a training method that can significantly reduce (but not elim
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Report
More Capable Models Are Better At In-Context Scheming
We evaluate models for in-context scheming using the suite of evals presented in our in-context scheming paper (released December 2024) with the most capable new models.
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Report
Towards Safety Cases For AI Scheming
We sketch how developers of frontier AI systems could construct a structured rationale - a 'safety case' - that an AI system is unlikely to cause catastrophic outcomes through scheming. Scheming is a potential threat model where AI systems could pursue mi
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Report
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Technologies
Tech DNA
Python
TypeScript
SQL
AWS
LLM
Claude
AI/ML
Python
SQL
LLM
Anthropic
OpenAI
AI Agents
Red Teaming
Claude
Claude Code
Cursor
OpenAI Codex
CI/CD
Fine-tuning
LLM Guardrails
Knowledge Distillation
Model Distillation
Post-training
RLHF
SFT
Interpretability
Reinforcement Learning
Vector
AWS
IAM
Terraform
Security
Threat Modeling
MITRE ATT&CK
Zero Trust
ISO 27001
SOC 2
Other
TypeScript
Google Workspace
Xero
Stack modernity
78/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
LLM
8 jobs
Required
$285k
+37% vs market
Python
8 jobs
Required
$280k
+51% vs market
Anthropic
6 jobs
Required
$280k
+10% vs market
OpenAI
5 jobs
Required
$280k
+12% vs market
AI Agents
5 jobs
Required
$280k
+30% vs market
CI/CD
3 jobs
Required
$290k
+71% vs market
TypeScript
3 jobs
Required
$290k
+57% vs market
Cursor
3 jobs
Required
$290k
+45% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
9%
AWS
8%
AI Agents
7%
TypeScript
6%
SQL
6%
CI/CD
6%
Share of companies in the same industry that use each technology.
Stack changes
Reinforcement Learning
Sep 2026
Interpretability
Sep 2026
SFT
Sep 2026
RLHF
Sep 2026
Post-training
Sep 2026
Model Distillation
Sep 2026
Knowledge Distillation
Sep 2026
Terraform
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Jobgether
ServiceNow
NVIDIA
Bosch
Weekday
DoorDash
Salary insights
Compensation ranges based on this company's open jobs
Median
$285k
Typical range
$238k – $396k
Open positions
12
10
Jobs
Junior
20%
Middle
20%
Senior
50%
Staff
10%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 2 | $312k | $238k – $385k |
| Middle | 2 | $290k | $290k |
| Senior | 5 | $280k | $271k – $385k |
| Staff | 1 | $396k | $396k |
Highest paying role
Engineering Manager (Product)
$396k
Normalized to USD per year
Growth
Hiring Momentum
68/100
Growing
Open positions
12
4 opened / 1 closed in 30 days
Median time-to-fill
102 days
faster than 12% of the market
ATS activity
Every ~1 days
09/08/2026
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.
AI/ML
44% ▲
Backend
22% ▲
Security
22% ▲
Management
11% ▲
Actively hiring for AI/ML (+4 in 30 days)
Activity Timeline
Added Reinforcement Learning to stack
Sep 2026
Added Interpretability to stack
Sep 2026
Added SFT to stack
Sep 2026
Added RLHF to stack
Sep 2026
Added Post-training to stack
Sep 2026
Added Model Distillation to stack
Sep 2026
Added Knowledge Distillation to stack
Sep 2026
Added Terraform to stack
Sep 2026
Added SOC 2 to stack
Sep 2026
Added ISO 27001 to stack
Sep 2026
Added IAM to stack
Sep 2026
Added Google Workspace to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
London
London
United Kingdom
HQ
13 open roles 9 posted in 90 days 85% engineering 50-200 est. staff $286k Avg Salary
hires for AI/ML, Security, Data Science
Jobs
$227k – $296k per year • In office • Full-Time • 5+ years exp • London
LLM
OpenAI
Anthropic
DevOps
CI/CD
Apply
$204k – $385k per year • In office • Full-Time • 5+ years exp • London
AI Agents
LLM
OpenAI
Anthropic
Red Teaming
Cybersecurity
MITRE ATT&CK
Threat Modeling
Apply
$182k – $238k per year • In office • Full-Time • 2+ years exp • London
Python
LLM
Anthropic
Red Teaming
DevOps
Vector
Apply
$204k – $385k per year • In office • Full-Time • 2+ years exp • London
Python
SQL
Fine-tuning
AI Agents
LLM
Apply
$214k – $280k per year • In office • Full-Time • 5+ years exp • London
AI Agents
LLM
OpenAI
Anthropic
Cybersecurity
Zero Trust
Threat Modeling
Apply
$214k – $280k per year • In office • Full-Time • 5+ years exp • London
AI Agents
LLM
OpenAI
Anthropic
Red Teaming
DevOps
CI/CD
Apply
$222k – $290k per year • In office • Full-Time • 3+ years exp • London
Python
TypeScript
Cursor
Claude
Claude Code
OpenAI Codex
DevOps
CI/CD
Apply
$222k – $290k per year • In office • Full-Time • 4+ years exp • London
Python
TypeScript
Cursor
Claude
Claude Code
LLM
OpenAI Codex
LLM Guardrails
Apply
$176k – $271k per year • In office • Full-Time • 7+ years exp • London
Python
Terraform
AWS
IAM
Cybersecurity
ISO 27001
SOC 2
Management
Google Workspace
Apply
$135k – $271k per year • In office • Full-Time • London
Python
Fine-tuning
RLHF
Knowledge Distillation
LLM
OpenAI
Anthropic
SFT
Post-training
Model Distillation
Apply
$135k – $271k per year • In office • Full-Time • London
Python
Reinforcement Learning
AI Agents
Interpretability
Apply