Machine Learning Jobs Board

Hacker News

Hey HN, Being a huge fan of Artificial Intelligence and Machine Learning, I decided to make an ML job portal to list all the ML related jobs at a single place, so as to help enthusiast find jobs with greater ease. Introducing Machine Learning Jobs List https://mljobslist.com There are way TOO MANY job boards. But many of my friends are still unable to find a job related to Machine Learning. Why? They don’t have time to look at hundreds of portals for specific for Machine Learning. And the Machine Learning Jobs Portal there are too dispersed. Since I firmly believe AI and ML is the future, It should be easier to find. So I aggregated all the Jobs from all over the internet for that. If you have any reviews or suggestions please do comment.

Visit product View on Hacker NewsMay 11, 2018

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6points

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Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, single · Missing: agents, macos, agent

27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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