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Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Robotics Reinforcement Learning Engineer jobs? · Latest report #rmwsit9y
Your job has an expiration date
May 25, 2028
In 1 year, 7 monthsTraining agents to solve tasks you could not finish yourself.
Senior Engineer (mostly PyTorch, perpetually debugging reward functions).
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Self-optimizing motion primitives for every actuator.
sluurp.you▸ AUTOTRAIN-NEUROFLOW 9000▸ RARITY · UNCOMMON▸ DEPRECATION IN 1 YEAR, 7 MONTHSAI's Special Power
optimizes entire training pipelines while you sleep
You define reward functions and tune hyperparameters for neural networks controlling robot joints. Your code is the final bottleneck.
The one thing AI can't do
You can still intuit why a policy fails in a non-convex, edge-case simulation environment.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Smart agents begin taking over hyperparameter selection for your models.
Month 4
Algorithms automatically design reward functions better than your manual tweaks.
Month 10
Automated pipelines solve the sim-to-real gap without human guidance.
Month 15
The AI writes its own architecture updates while you watch.
Month 19 · D-Day
The system replaces you and deletes the training logs.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.8%
4.2 million
Average training episodes per day
Excessive
Coffee-to-debug ratio
60 percent
Time spent fixing broken simulations
Your severance
A lifetime subscription to your broken neural network models.
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