Skill · Technology tool · Data
Tracked since June 2024
PyTorch in All Australia
Deep-learning framework used in research and production ML.
Also searched as torch
Right now
Skill premium
+10%+10% vs same roles without it
Job ad aggregate
- 4 wk
- Up+9.4%245 → 268 ads
- Entry
- 9.3%25 of 268 ads
Statistics
- Demand268job ads in 28 daysJob ads
- 4-week changeUp+9.4%245 → 268 adsJob ads
- 12-month changeUp+26%2,304 → 2,897 adsJob ads
- Entry-level share9.3%25 of 268 adsJob ads
- No PR stated70.1%188 of 268 adsJob ads
- Employers hiring112top 5 post 24.7%Job ads
- Median salary$142k1,275 of 2,897 adsJob ads
4 more measuresFewer measures
Advanced measures are noisier or easier to misread. Open the ⓘ next to each before leaning on it.
Composition
Roles that ask for PyTorch
- 60%60% of Machine Learning Engineer ads mention PyTorch.
- 30% of Data Scientist ads mention PyTorch.
Data ScientistData
30%
Co-occurrence
Often asked for together
- Oftenasked for in the same ads most of the time
- LLM engineeringMachine learning
- Sometimesa common pairing in some roles
- PythonStatistics
- Occasionallyshows up together now and then
- Apache SparkRustKubernetesDocker
Location
Where the ads are
- New South Wales123 · 45.9%
- Victoria73 · 27.2%
- Queensland30 · 11.2%
- Australian Capital Territory18 · 6.7%
- Western Australia12 · 4.5%
- South Australia8 · 3.0%
- Tasmania4 · 1.5%
- Northern Territory0 · 0.00%
268 ads in the last four weeks under your filter, by state or country.
Before you decide
Demand is only one input
Learning effort
Months
Expect a few months of regular practice, ideally on a real project, before you can use it at work.
Transferability
Narrow
Mostly useful in a small set of roles or one tool ecosystem.
Rising ads don’t mean you should learn this.
Your interests, the time you have and what people in the work tell you matter more. Effort and transferability are editorial estimates, not measurements.
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