Absinthe Labs | Full-Stack Engineer | Remote / NYC Hybrid | Full-Time | https://absinthe.network/

About us: Absinthe is building the most sophisticated gamification engine for crypto-native incentive programs. With 50M+ visits, 2M+ active users since 2022, we’re looking for a Full-Stack Engineer with a love of UX to accelerate our momentum.

Role: You'll own a diverse set of features end-to-end: from schema design, wiring GraphQL through polished frontends, to rapid deployments and monitoring. Recent examples shipped by single engineers include: - Unified social+wallet auth centralizing user identities. - “Buy-me-a-coffee” embeddable Web3 widget (<script>-based integration). - Webflow-like WYSIWYG loyalty-program builder. - Embedded Metabase analytics inside our app.

Our Stack: Next.js, Hasura, dbt, MotherDuck/DuckDB, GraphQL, in-house Web3 indexing.

What you bring:

Open Source Contributor: We love open source! Love for crafting efficient UX; shipping fast and iterating. Leverage LLM-based workflows in daily dev practices. A portfolio showcasing impactful, end-to-end fullstack projects.

Why Absinthe:

High-Impact Work: Join a tight-knit team shipping Web3 loyalty infrastructure that directly influences millions of users. Flexibility: Choose fully remote or hybrid (NYC). Competitive salary (region-based) and equity in a high growth Web3 startup.

Interested? Apply directly at: https://www.notion.so/absinthelabs/Careers-Absinthe-labs-13c...

krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site), CA

I'm the cofounder of Krea (https://www.krea.ai), a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and creatives. Small team (~15); millions of active users; and we've raised over $83M from top silicon valley firms.

We're looking for talented engineers who want to tackle hard technical challenges with smart people while building a creative platform that big companies and startups will rely on.

The job:

- Build distributed systems to process massive (billions of files, petabytes), amounts of image, video, and 3D data, solving scaling bottlenecks as you go.

- Work with our research team to build ML pipelines and deploy models to make sense of raw data (example - find clean scenes within videos).

- Learn ML engineering from world-class researchers on a small tight-knit team. As you’re building data pipelines, you’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions of Krea users.

- Play with massive amounts of compute on huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

Our tech stack: python, pytorch, k8s, a rotating cast of data tools (e.g. DuckDB, massive relational dbs, PyArrow, etc.)

You should apply if you are an excellent generalist engineer with strong backend experience and an intuition for systems design. Bonus points for deep experience with distributed systems, kubernetes, and existing ML or data experience (though not required!). Cool side projects are a green flag.

A few links about us:

- Technical report for FLUX.1 Krea, our latest text-to-image model → https://krea.ai/blog/flux-krea-open-source-release

- HN discussion around FLUX.1 Krea → https://news.ycombinator.com/item?id=44745555

- A cool demo by one of our users → https://x.com/syntonikka/status/1941198480820797921

You can contact me at d+hn@krea.ai (the +hn will bump your email in my inbox).