A Day in the Life of a Machine Learning Engineer (at a *small* startup)

A day in the life of a machine learning engineer at a small startup from Brisbane, Australia called Nutrify.

Nutrify uses computer vision to make learning about and tracking whole foods fun.

Links from video:
Download Nutrify on the App Store – https://apple.co/4ahM7Wc
Nutrify website – https://www.nutrify.app
What we learned from year of building LLMs part II — https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-ii/
Apple Overton System for Machine Learning — https://machinelearning.apple.com/research/overton
Copying Tesla’s Data Engine for Food Images — https://youtu.be/02b-1spzLzc?si=p7HBZ3dLaq6NGC57
My ML recommended resources — https://www.mrdbourke.com/ml-resources/
2020 Deep Learning PC Part List — https://au.pcpartpicker.com/list/8KXXjp
2024 Deep Learning PC Part List — https://au.pcpartpicker.com/list/xBvRdH

Other links:
Download Nutrify (my startup) – https://nutrify.app
Learn AI/ML (beginner-friendly course) – https://dbourke.link/ZTMMLcourse
Learn TensorFlow – https://dbourke.link/ZTMTFcourse
Learn PyTorch – https://dbourke.link/ZTMPyTorch
Read my novel Charlie Walks – https://www.charliewalks.com

Connect elsewhere:
Web – https://dbourke.link/web
X/Twitter – https://www.twitter.com/mrdbourke
Twitch – https://www.twitch.tv/mrdbourke
ArXiv channel (past streams) – https://dbourke.link/archive-channel
Get email updates on my work – https://dbourke.link/newsletter

Timestamps:
0:00 – intro
1:08 – morning session/breakfast
1:41 – reading
2:15 – data labelling
2:40 – model training
4:19 – bug fixing
4:34 – lunchtime
6:09 – afternoon session
6:51 – what we’ve been working on (for the day)
8:36 – ideas for the future
9:28 – Nutrify compute cluster in a closet
11:00 – Nvidia GPU speed comparison
12:00 – Nutrify’s data flywheel
13:14 – end of day
14:34 – bloopers