Description review
ARTIFICIAL ANALYSIS | MTS, Forward Deployed Engineer + more | San Francisco, CA (ON-SITE, 5 days) or
ARTIFICIAL ANALYSIS · San Francisco, CA (ON-SITE, 5 days) or · back to the listing
HR standards
39/100
poor
Title ↔ description
52/100
needs work
Reads as
Machine Learning Engineer
94% 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.
Melbourne, Australia (ON-SITE, 3 days)| Full-time | https://artificialanalysis.ai/careers
We're an independent AI benchmarking company. We benchmark language models, inference providers, hardware, image/video and speech, and our Intelligence Index is widely cited when new models launch. Team of ~50, backed by Nat Friedman, Daniel Gross, Andrew Ng and others.
The people who build our evals also work directly with the AI labs, often on pre-release models. Flat structure, lots of ownership.
Main hiring needs:
* Forward Deployed Engineer (FDE), Language Models: run our LLM benchmarking stack and work directly with the labs
* Member of Technical Staff (MTS), Language Model Evaluations: build frontier evals (datasets, harnesses, benchmarks)
* MTS, Inference: benchmark speed, quality and price across serverless inference providers
* MTS, Hardware: benchmark GPUs, TPUs and custom silicon
* MTS, Speech: own our TTS, STT and speech-to-speech evals
Also hiring for media generation, full stack, ML engineering, robotics and product roles.
Apply at https://artificialanalysis.ai/careers.
We're an independent AI benchmarking company. We benchmark language models, inference providers, hardware, image/video and speech, and our Intelligence Index is widely cited when new models launch. Team of ~50, backed by Nat Friedman, Daniel Gross, Andrew Ng and others.
The people who build our evals also work directly with the AI labs, often on pre-release models. Flat structure, lots of ownership.
Main hiring needs:
* Forward Deployed Engineer (FDE), Language Models: run our LLM benchmarking stack and work directly with the labs
* Member of Technical Staff (MTS), Language Model Evaluations: build frontier evals (datasets, harnesses, benchmarks)
* MTS, Inference: benchmark speed, quality and price across serverless inference providers
* MTS, Hardware: benchmark GPUs, TPUs and custom silicon
* MTS, Speech: own our TTS, STT and speech-to-speech evals
Also hiring for media generation, full stack, ML engineering, robotics and product roles.
Apply at https://artificialanalysis.ai/careers.