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Machine Learning Engineer, especially cloud-native distributed data & compute.

Location: Currently Seattle. Open to any west coast.

Remote: Prefer not.

Willing to relocate: Strong yes, prefer in person with the best teams.

Technologies: PyTorch (DDP, FSDP), Huggingface, Ray, Spark, Kubernetes, Slurm

Résumé/CV: https://kastanday.com/resume

Email: kastanvday@gmail.com

Best project: https://github.com/KastanDay/video-pretrained-transformer


Mosaic's open source library is excellent: Composer https://github.com/mosaicml/composer.

* It gives you PyTorch DDP for free. Makes FSDP about as easy as can be, and provides best in class performance monitoring tools. https://docs.mosaicml.com/en/v0.12.1/notes/distributed_train...

Here's a nice intro to using Huggingface models: https://docs.mosaicml.com/en/v0.12.1/examples/finetune_huggi...

I'm just a huge fan of their developer experience. It's up there with Transformers and Datasets as the nicest tools to use.


> Transformers and Datasets

Are these specific libraries?



Woah these are great. Only a few key topics, but the curation is exactly what I seek. Thank you good human!


Thank you good person!


thanks for sharing. hope you're good, I believe in u hahaha


thank you!


Thanks for sharing! As a new grad also looking for work, maybe I'll apply to more SE jobs, fewer data science-focused jobs lol.

TBH applying for jobs is scary asf.


Maybe it's just because I've been in industry for 10+ years now, but how are you qualified as a new grad to apply for both?


Double major statistics + cs? masters statistics? Seems those would potentially qualify you if you are a solid candidate?


Not sure why you've been downvoted--it's really tough to know what skills will be marketable in 4+ years when choosing what to concentrate on in college.

In my schooling, I really optimized for the math+stats background, since I enjoyed it and thought it would help me stand out. I even took a short detour into a machine learning PhD before deciding academia isn't for me and leaving with an MS. Now I'm on the job market, and although I have modest coding/engineering skills and a willingness to learn, it's tough to find a company willing to take the risk. Guess I min/maxed a little too much.

Best of luck in your search!


I think there's a lot of value of curating the best of "Biohacking" for average people. Then also being data-driven in determining if those hacks are actually improving your sleep, weight or productivity.

I also agree there are too many "gurus" out there, and not enough evidence-based places like www.examine.com


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