Description review
Location: Brazil at the moment, nomadic
Location: Brazil at the moment, nomadic · Remote · back to the listing
HR standards
29/100
poor
Title ↔ description
30/100
poor
Reads as
Machine Learning Engineer
97% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Remote: Yes
Willing to relocate: Maybe
Technologies: PyTorch, Deep Learning, LLM, Diffusion models, NumPy, JAX (a bit), CUDA, C/C++ | SvelteKit, TypeScript, tailwind, drizzle, Pi, Agents | DevOps
CV: https://alexey.work/cv?ref=49522897
Email: [email protected]
Open to both short/long-term contract or a full-time position if the chemistry is there.
I fluctuate between:
- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.
https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy
https://github.com/xl0/tidygrad - autograd from scratch
https://github.com/xl0/latent-tools
https://github.com/xl0/nvml-tool - manage nvidia CPU fans/power
- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).
https://chat.alexey.work
https://lovely-docs.github.io
https://pelican.alexey.work/gallery
I really got into Pi recently. Some cool stuff:
https://github.com/xl0/pi-lovely-codex https://github.com/xl0/pi-lovely-web https://github.com/xl0/pi-lovely-dev-tools
https://github.com/xl0/pi-lovely-ide (you should really check this one out if you ues pi collaboratively and read some of the code).
https://www.npmjs.com/package/grok-mermaid - 1.5M weekly downloads.
In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen: https://alexey.work/cv?ref=49522897&view=full
Willing to relocate: Maybe
Technologies: PyTorch, Deep Learning, LLM, Diffusion models, NumPy, JAX (a bit), CUDA, C/C++ | SvelteKit, TypeScript, tailwind, drizzle, Pi, Agents | DevOps
CV: https://alexey.work/cv?ref=49522897
Email: [email protected]
Open to both short/long-term contract or a full-time position if the chemistry is there.
I fluctuate between:
- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.
https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy
https://github.com/xl0/tidygrad - autograd from scratch
https://github.com/xl0/latent-tools
https://github.com/xl0/nvml-tool - manage nvidia CPU fans/power
- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).
https://chat.alexey.work
https://lovely-docs.github.io
https://pelican.alexey.work/gallery
I really got into Pi recently. Some cool stuff:
https://github.com/xl0/pi-lovely-codex https://github.com/xl0/pi-lovely-web https://github.com/xl0/pi-lovely-dev-tools
https://github.com/xl0/pi-lovely-ide (you should really check this one out if you ues pi collaboratively and read some of the code).
https://www.npmjs.com/package/grok-mermaid - 1.5M weekly downloads.
In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen: https://alexey.work/cv?ref=49522897&view=full