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

I'm the cofounder & CTO of Krea (https://www.krea.ai). We are a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and professional creatives. Small team (~24); millions of active users; and raised over $83M from top Silicon Valley investment 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.

- Learn ML engineering from world-class researchers on a small tight-knit team. You’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions.

- Play with huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

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 experience with dist. systems, k8s, and existing ML or data experience (but not required!). Cool side projects are a green flag.

A few links about us:

- Sneak peek of our real-time video model → https://x.com/krea_ai/status/1961074072487620635

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

You can contact me at:

  d+hn@krea.ai

Pomelo Care | San Francisco, NYC, Remote - USA ONLY with Work Authorization | Software Engineer (mid career - Staff)

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are Series B, with some notable investors like First Round and a16z. As a member of our engineering team, you will have the opportunity to shape the product, codebase, and culture at Pomelo for years to come. On any given day, you may:

- Write clean, elegant code to build new features and keep our platform humming

- Design new systems to enable Pomelo's clinical team to deliver personalized care to an expanding patient population

- Build a great mobile experience so pregnant women and new parents feel they have a support team in their pocket

Tools we use:

- GCP, Kotlin, Typescript, React, React Native, Terraform, Spanner DB, Big Query, DuckDB, Dagster, DBT, K8s

Personally, I've never had so much fun and learned so much at work. This team is phenomenal, so I recommend applying if you're looking to learn a lot and make a big impact in an important space.

Learn more here: https://www.pomelocare.com/careers

Absinthe Labs | Full-Stack Engineer | REMOTE / NYC Hybrid | Full-Time

About us: Absinthe is building the most sophisticated gamification engine for crypto-native incentive programs. Since 2022, our products have reached 50M+ visits and 2M+ active users. We’re a 10 person, well-funded team shipping fast.

The problem we’re solving: Tracking per-user activity across DeFi protocols sounds simple but is surprisingly hard. Want to know how long someone held an LP position, or which users provided liquidity for more than 30 days? That data is on-chain but can’t be efficiently queried today.

We built an indexing framework that turns protocol events into time-weighted balances and point-in-time actions. Adapters map protocol-specific semantics (Uniswap ≠ Aave ≠ Morpho) into a unified model. The engine handles state, TWAP pricing, and exporting data anywhere. With ~100 lines of adapter code, you can track user balances and contributions at a fidelity no one else supports.

Why it matters: This infrastructure underpins analytics, loyalty, and incentive programs across Web3. We see the Absinthe Adapter Library becoming the default developer layer for embedded finance.

The role: We’re hiring a Full-Stack Engineer to own features end-to-end schema design, wiring GraphQL, polished frontends, and deployment. Our stack: Next.js, Hasura, dbt, MotherDuck/DuckDB, GraphQL, and in-house Web3 indexing. See open positions here: absinthe.network/careers#open-positions

Get involved: - Explore product functionalities at: [https://guides.absinthe.network](https://guides.absinthe.network/)

- Explore the Adapter Library docs: https://docs.absinthe.network/ - Join our Slack community to hack on adapters and connect with the team: https://join.slack.com/t/absinthecommunity/shared_invite/zt-...

Count | Senior Software Engineer | REMOTE within UK/Europe/US East Coast | Full-time | https://count.co | £100-140k + Equity

Count is like Jupyter, Tableau and Miro combined in one tool. Some of the world's leading data teams use it for everything from iterating data models and performing in-depth analyses to creating process flow maps of their entire business.

We're a small team looking for experienced software engineers who are interested in tackling deep technical challenges in the data analytics space.

For the best possible user experience, we have developed various technologies in-house, including a custom WebGL rendering engine, our own data visualization library, and a reactive SQL/Python notebook and database query framework.

Example projects: leveraging agentic workflows in data exploration, accelerating rendering using quadtree tiling, extending interactivity and customizability of visualizations, developing serverless frameworks for executing database queries at high concurrency.

Our tech stack: TypeScript, Python, Node, WebAssembly, WebGL, Apache Arrow/Parquet, DuckDB, Kubernetes, React.

For more details and to apply: https://jobs.ashbyhq.com/count