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Income strategies to support your ML research:1. Github Sponsors / Patreon
@calebporzio is making $100k/yr by having a free open source project. He gives access to video tutorials for users who sponsor him.
https://calebporzio.com/i-just-hit-dollar-100000yr-on-github-sponsors-heres-how-i-did-it
2. Production Maintenance Fees
Spend a few months getting really good at turning Colab notebooks into APIs in Kubernetes. Spend a year putting models in production, and then charge a monthly fee to maintain the clusters.
Spend a few months getting really good at turning Colab notebooks into APIs in Kubernetes. Spend a year putting models in production, and then charge a monthly fee to maintain the clusters.
3. Stock market returns
If you get a high-paying SWE or ML job and save $120k, and put it in the S&P 500 - which on average has ~10% yearly returns - you'll earn $1k/month for the rest of your life to support your research.
If you get a high-paying SWE or ML job and save $120k, and put it in the S&P 500 - which on average has ~10% yearly returns - you'll earn $1k/month for the rest of your life to support your research.
4. Content Marketing
There are hundreds of companies looking for ML content marketing. You can reproduce papers, write about it, and sell it. Rates vary between $250-4k per article. https://twitter.com/EmilWallner/status/1162289417140264960
There are hundreds of companies looking for ML content marketing. You can reproduce papers, write about it, and sell it. Rates vary between $250-4k per article. https://twitter.com/EmilWallner/status/1162289417140264960
5. Productionize Freelancer posts
To reduce the risk of making something that's not useable and monetizable. Create a list of 100-500 ML project posts on e.g. Upwork. Find a recurring pattern, and build a product to solve it. The authors of the posts are your first customers.
To reduce the risk of making something that's not useable and monetizable. Create a list of 100-500 ML project posts on e.g. Upwork. Find a recurring pattern, and build a product to solve it. The authors of the posts are your first customers.
6. Productionize ML models
Create a startup around an ML model, say Transformers( @huggingface) or Colorization ( @deoldify). Either raise cash upfront like the former, or bootstrap it by selling access to the model like the latter.
Create a startup around an ML model, say Transformers( @huggingface) or Colorization ( @deoldify). Either raise cash upfront like the former, or bootstrap it by selling access to the model like the latter.
7. Bootstrap your food and housing
Many large cities have thriving squat and dumpster diving communities. You'll meet a bunch of interesting people and have great adventures, but sometimes it can be distracting from your research endeavors.
Many large cities have thriving squat and dumpster diving communities. You'll meet a bunch of interesting people and have great adventures, but sometimes it can be distracting from your research endeavors.
8. Part-time and consulting
If you are doing consulting, don't be a generalist. Find an ML niche you are interested in, create a track record of solid projects, and write about it.
If you are doing consulting, don't be a generalist. Find an ML niche you are interested in, create a track record of solid projects, and write about it.
9. ML Art
Many are doing cutting edge research which also happens to create beautiful artifacts. These can either be sold in a digital format on @SuperRare_co, like @videodrome's nude portraits. Or turn into physical products, like @dribnet's Synthetic Abstractions.
Many are doing cutting edge research which also happens to create beautiful artifacts. These can either be sold in a digital format on @SuperRare_co, like @videodrome's nude portraits. Or turn into physical products, like @dribnet's Synthetic Abstractions.
10. ML Books
Write a book for an open-source ML library, a rapidly emerging trend (like Transformers in 2017). Or a workflow, say indie ML research. It's a great excuse to become an expert on a topic.
Write a book for an open-source ML library, a rapidly emerging trend (like Transformers in 2017). Or a workflow, say indie ML research. It's a great excuse to become an expert on a topic.
11. ML Courses
Teaching is a great method to deepen your understanding of a topic while earning. After 11 months, @mrdbourke was making ~$100k by selling ML courses. Read all about it here: https://www.mrdbourke.com/running-a-business-from-a-bedroom-11-months-in/
Teaching is a great method to deepen your understanding of a topic while earning. After 11 months, @mrdbourke was making ~$100k by selling ML courses. Read all about it here: https://www.mrdbourke.com/running-a-business-from-a-bedroom-11-months-in/
