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

Posted 01 Oct 2026
Last seen 02 Oct 2026
Location San Francisco, CA (ON-SITE, 5 days) or
Lifecycle fresh
Grade D

This listing scored 45/100, which is a D. It lost the most ground on pay transparency.

Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →

$163k – $275k

That is the middle half of what comparable roles paid on this board over the last 90 days — 28 listings that did publish a figure, median $178k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.

What this role involves →

hn-hiring

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.

Apply for this role Opens artificialanalysis.ai — the employer's own page, as linked by the source that listed this role

Description review

39/100 HR standards 52/100 Title ↔ description 40/100 Fit to the official role
Read the marked-up listing →

Where this listing came from

  1. 02 Oct 2026 Hacker News first sighting

Seen on 1 board over 0 days.