Comment by benbayliss

Open in a window
Comment

Comment by benbayliss

Artificial Analysis | https://artificialanalysis.ai | Multiple Roles | San Francisco preferred, remote available (Australia, NZ, LATAM) | Competitive Salary + Equity

Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 25+ and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng. Our benchmarks are cited by NVIDIA, Meta, Amazon, and publications including the Wall Street Journal and TechCrunch.

We are hiring across several roles:

Member of Technical Staff: Lead projects in AI benchmarking and analysis. Design and execute evaluations of AI systems, develop new methodologies and datasets, and drive strategic analysis that helps enterprises shape their AI strategy. Technical generalist role with exposure to cutting-edge AI. Consulting and data science backgrounds preferred.

Senior AI / ML Engineer: Lead development of our core benchmarking stack, focusing on data-intensive backend systems and APIs. Design Python solutions for benchmarking, model evaluation, and data analysis. Build visualizations that distill complex AI data into intuitive experiences. 3+ years experience required, project management skills highly valued.

Full Stack Engineer: Build and maintain our benchmarking platform and communicate insights to users. Proficiency in TypeScript & Python required. Familiarity with LLM APIs preferred. Tech stack: JavaScript/TypeScript, Node.js, React/Next.js, Python.

Product Manager (AI Speech): Drive product strategy and execution for our speech evaluation platforms, including text-to-speech, speech-to-text, voice cloning, and real-time voice. Hands-on, technical role working closely with engineering and analysis teams.

Technical Marketing Manager: Own our live programs (webinars, events, conferences) and email marketing. Build and execute on our events calendar, coordinate speaker prep, and engage our 300K+ monthly audience. 3+ years B2B tech marketing experience required.

Solutions Engineer - Language Models: Run our evaluation stack for new model evaluations, debug and interpret results, and work directly with clients to share insights and answer questions. Exposure to cutting-edge AI and world-class evals.

Solutions Engineer - Image/Video: Run evaluations for image and video generation models, debug and interpret results, and support clients with benchmarking insights for media generation AI.

Apply at hiring (-at-) artificialanalysis.ai with your resume, GitHub, and bullet points on relevant experience (including anything you've built). Add | HackerNews to email subject line.

Replies benbayliss · 2026-02-03
Open on HN
Loading the discussion…

Domain filters

Stories from these domains are hidden from every list. Subdomains match too: blocking substack.com also hides danluu.substack.com. The list is kept in this browser only.

Help

Keyboard

j / k
Move down and up the story list. The arrow keys scroll whatever has focus.
Enter
Open the marked story in a window.
]
Open the next story in the list in place of the one in front. Back returns to it.
p
Pin or unpin the marked story, which keeps it in Pinned.
n / N
Move to the next or previous top-level comment in the window in front.
c
Collapse or expand that comment.
f
Hide or show the story list.
Esc
Close a menu or this help.
Access key m
Go to the menu bar. Most browsers take it with Alt on Windows and Linux, and Safari with Control and Option.
?
Show this help.

Windows

Each story opens in a window holding its article above its discussion; drag the bar between them to share the room differently. A window can be moved by its title bar, resized from any edge, snapped to a half or a corner by dragging it there, maximised, or minimised to the bar at the foot of the page. Open several stories to compare them, and switch between them from that bar. A window's Next story link reads on down the list in the same window.

A link in a comment or an article to another Hacker News or Lobsters thread opens that thread in a window too. A link to a single HN comment opens the comment above its replies.

While a story's window is in front, the Story and Discussion menus in the menu bar hold its commands: pinning, Next story, sorting, collapsing every thread, jumping to the first new comment. Each window also remembers where you were in its article and discussion, so a reload, or Back to a story that Next took you past, finds your place again. Closing a window forgets it.

The whole arrangement lives in the address, so a bookmark or a shared link brings it back, and Back undoes the last change. Moving between Hacker News, Lobsters, their lists, Pinned and Find changes only the list, and leaves the windows open.

The list

The pin at the start of a row keeps the story in Pinned, and the cross at its end hides it. Pinned can be narrowed by words in the title, site or author, by source, and to the stories you haven't opened yet, and ordered by when you pinned them, by points or by comments; the filters are part of the address, so a filtered view can be bookmarked. Scroll past the end of the list to load more. Domain filters, in the View menu, hide every story from a site.

Applets

The Applets menu in the menu bar holds three tools, each a window of its own. Replies to me takes your Hacker News user name and lists the replies to your last thirty comments and stories, checking again every three minutes while it is open, and marking what is new since you last marked them read. Look up a user opens a profile on Hacker News or Lobsters, with their submissions and recent comments, as a commenter's name in any discussion does; the bar at the top of a profile looks up someone else in the same window, and Back returns to the one before. Who is hiring? filters the posts of HN's monthly hiring threads by the words you type.

They read only what the sites publish to everyone, so none of them asks for a login, and your user name stays in this browser.

Find

Find takes any link and lists every time it was submitted to Hacker News and Lobsters, so you can read each discussion of it.

About

YAVCHN never sees your Hacker News or Lobsters login. The discussion is fetched from each site's public API; to vote or reply, follow the link above the discussion, or the arrow beside a comment, to the source's own site. Pins, hidden stories, filters and layout are kept in this browser only.

Open source: github.com/paulmooreparks/yavchn. Built with PUDL.