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268 points whoishiring | 1 comments | | HN request time: 0.468s | source

Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.

Please only post if you are actively filling a position and are committed to responding to applicants.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email if you are personally interested in the job.

Searchers: try https://dheerajck.github.io/hnwhoishiring/, https://amber-williams.github.io/hackernews-whos-hiring/, http://nchelluri.github.io/hnjobs/, https://hnresumetojobs.com, https://hnhired.fly.dev, https://kennytilton.github.io/whoishiring/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....

Don't miss these other fine threads:

Who wants to be hired? https://news.ycombinator.com/item?id=44434574

Freelancer? Seeking freelancer? https://news.ycombinator.com/item?id=44434575

1. dvrp ◴[] No.44441176[source]
San Francisco, CA; Full-time & Onsite; Member of technical staff.

I'm the cofounder of Krea (https://www.krea.ai/), a startup in San Francisco building browser-based creative tools and AI systems focused on personalization, controllability, aesthetics, and speed. We are also working real-time video models and world models.

Some customers: Pixar, Shopify, Fox News, Amazon Studios.

We are ~15 technical staff members (https://www.krea.ai/careers) looking for others interested in tackling challenges in the creative tooling (with AI) space. We have a lot of GPUs and plan on getting more.

Some challenges: large-scale training of diffusion models; post-training such models using techniques like DPO; UI testing framework to simulate user actions; distillation of state-of-the-art models like Flux to achieve real-time performance at inference-time; zero-downtime and blue-green deployments; recommendation systems for user-content; vector-based search API for filtering through millions of user assets; multi-cloud multi-cluster infrastructure management; enterprise-grade granular access control similar to how Linux ACLs work.

Some investors: cofounder of Meta/Facebook AI Research, founding member of OpenAI, a16z.

Our tech stack: CUDA, PyTorch, Kubernetes, Tigris, Node, Svelte(Kit), WebGL/WebGPU/WASM, Python, Ceph.

If you want to learn more or meet up to talk about creative tooling or research, email me at d@krea.ai.