[Crypto Jobs List](https://cryptojobslist.com/) had a section for developer jobs. And they publish solid guides on how to get into the industry in their blog. Source: over 1 year ago

Companies can pay to have their job posted on top of the list for 1month It's the same system as other job boards like https://cryptojobslist.com/ or https://weworkremotely.com/ for example. Source: over 1 year ago

For web3-related Jobs, it's this for me. For bounties, I come across them on Twitter and TGE, but I filter through those and pick the good ones, like FLUID bounty where you learn about the project, complete easy tasks, and participate in competitions to earn. It's like an airdrop. Source: almost 2 years ago

It really depends entirely on the role. You should check out sites like https://cryptocurrencyjobs.co and https://cryptojobslist.com and search for stuff like typescript to find out what folks are expecting. Perhaps with some personal study time and building a couple projects on your own time (that leverage libraries like node.js, ethers.js, web3.js etc) you could apply to a role like this one, or this one.... Source: almost 2 years ago

- effortlessly play multiple roles (community mod, dev, pr etc) with multiple blockchain projects --> Apply to cryptojobslist.com for FREE. Get hired. Spread the word <3. Source: about 2 years ago

Projects are definitely the best way to learn models. Build things for fun that do things in topics/fields that you care about or think is cool. a few years ago when I was getting into ML stuff I build fantasy football things that weren't even useful but provided an actual use case. Then I did more complicated stuff with photography and lighting because I did real estate photography. As far as ML libraries go,... Source: almost 3 years ago

So far I’ve seen AWS Sagemaker kind of allows for a situation like this, but would rather not deal with all that config. Algorithmia and Nuclio are too enterprise focused. Neuro is new and looks great, but from my understanding I would still need to create a lambda instance myself that then calls neuro’s servers - too indirect. Is there a total solution out there for this? Source: about 3 years ago

A couple of weeks ago I put out a post on DeepSpeech running on the serverless setup at Neuro (https://getneuro.ai), and I've now got Silero running there as well. I've found this model is a lot faster than DS and way more accurate. Seeing around 300ms per request at the moment, hopefully will be closer to 100ms soon but this is a pretty decent speed in this application already. Source: over 3 years ago

I just made a streaming script connecting Deepspeech to serverless GPUs at Neuro (https://getneuro.ai). Was a fun piece of work, and cool to play around with. You can find the source here: https://github.com/neuro-ai-dev/npu_examples/tree/main/deepspeech. Source: over 3 years ago