C:\>getCourage

See where you are.
See where you could go.

Select a role to explore

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Skill Gap

Know exactly what to learn next

Skills ranked by salary impact. See which ones matter most for your target role. Every skill shows its demand frequency across 5,099 job postings.

Skills to Learn

5 skills
PyTorch
92HIGH
MLOps
85HIGH
Deep Learning
78MED
Feature Eng.
71MED
Statistics
65HIGH

Salary Data

Salary data with receipts

Real data from H1B filings, BLS, ONS, Destatis, and CBS. Every number shows its source and confidence tier. Compare compensation across 6 countries.

ML Engineer Salary

median
🇺🇸United States
$165k
🇨🇭Switzerland
$158k
🇬🇧United Kingdom
$98k
🇩🇪Germany
$85k
🇳🇱Netherlands
$82k
Sources: H1B LCA · BLS OEWS · ONS ASHE · Destatis · CBS

AI Risk

How automation-proof is your role?

Composite scores from peer-reviewed research. Skill-level resilience classification: amplifier, resistant, vulnerable, or neutral.

AI Exposure

51 / 100
51
Composite score from
Eloundou 50% · Microsoft 30% · Felten 20%
Amplifier
PythonStatisticsSQL
Resistant
KubernetesMLOps
Vulnerable
Feature Eng.PandasVisualization

Build your path

Pick where you are and where you want to go.

Start
Target

Select a target role to see the full path analysis

How it works

Step 1

Pick your path

Choose your current role and where you want to go. See the skill gap, salary delta, and estimated timeline.

5

GAPS

+$55k

SALARY

~12mo

TIME

Step 2

Clone a real project

Fork a template repo built for your target role. Real code, real architecture — not toy tutorials. Your work contributes to a social impact project.

$ git clone

getcourage/missing-persons-backend

16 repos · 1 real theme · 4 difficulty tiers

L0 StarterL1 JuniorL2 MidL3 Senior

Step 3

Grow with others

Connect with devs on the same career path. Share progress, review code, learn together.

Backend → Cloud Architectactive
Frontend → Fullstackactive
Beginner → Data Engineeractive

FAQ

What roles are covered?
16 engineering roles: Data Analyst, QA Engineer, Frontend, Backend, Fullstack, Mobile, Software Engineer, Data Engineer, DevOps/SRE, Data Scientist, Security Engineer, Cloud Architect, ML Engineer, Engineering Manager, Product Manager, and Platform Engineer.
Where does the salary data come from?
Government sources: H1B LCA filings and BLS OEWS (US), ONS ASHE (UK), Destatis and Entgeltatlas (DE), BFS Salarium (CH), CBS StatLine (NL). Every figure links to its source.
What countries are covered?
US, UK, Germany, Switzerland, Netherlands, and France. More countries will be added based on data availability.
What are the template repos?
16 GitHub repos (one per target role) built around a real theme — Missing Persons. Real data from NamUs/NCMEC. 4 difficulty tiers (L0-L3). You fork one, build it, and learn the skills your target role requires.
How is the AI risk score calculated?
Composite of three peer-reviewed indices: Eloundou et al. (50%), Microsoft Research (30%), Felten et al. (20%). Each skill is classified as amplifier, resistant, vulnerable, or neutral.
What does it cost?
Nothing. The platform, the data, the repos, and the community are all free.

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Skills

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Salary Baselines

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Career Paths

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Job Postings

Sources

H1B LCABLS OEWSONS ASHEDestatisCBS StatLineO*NETESCOAdzuna