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 –
Nutrify website –
What we learned from year of building LLMs part II —
Apple Overton System for Machine Learning —
Copying Tesla’s Data Engine for Food Images —
My ML recommended resources —
2020 Deep Learning PC Part List —
2024 Deep Learning PC Part List —
Other links:
Download Nutrify (my startup) –
Learn AI/ML (beginner-friendly course) –
Learn TensorFlow –
Learn PyTorch –
Read my novel Charlie Walks –
Connect elsewhere:
Web –
X/Twitter –
Twitch –
ArXiv channel (past streams) –
Get email updates on my work –
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
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