We're continuing building the platform to grow post MVP — and we’re looking for an engineers who want to build the application further
Your Responsibilities (AI engineer)
Develop, train, and optimize machine learning models for performance analysis, forecasting, and automated recommendations Build scalable AI services that integrate seamlessly with our cloud‑native backend Collaborate on the design of data pipelines and feature engineering processes Work with structured and unstructured data from enterprise systems and operational sources
Influence architectural decisions for our AI stack, from model serving to real‑time inference
Your Responsibilities (fullstack engineer) Build and scale frontend and backend systems from scratch Develop modern, responsive user interfaces using React, Tailwind CSS, or Material UI Implement REST and GraphQL APIs and integrate with complex enterprise systems such as SAP S/4HANA Design and maintain data pipelines and database architectures (e.g., PostgreSQL, Snowflake) Build real‑time features using WebSockets or Server‑Sent Events (SSE) Implement secure and scalable authentication and authorization (e.g., OAuth2, JWT, SSO)
Location: Onsite in Germany: Munich or Berlin --> please only apply if you are located in either of these cities Contact: steffen@vysr.io LinkedIn: www.linkedin.com/in/steffen-medele
We are MiLaboratories, the team behind Platforma.bio & MiXCR. We are building the "OS for Biology"—the foundational infrastructure where all biological data is transformed into life-saving breakthroughs. We work fully on-site in Bilbao because the complexity of our problems (high-performance computing + deep biological nuances) requires high-bandwidth, in-person collaboration.
We dissolved traditional departmental silos. We are hiring hardcore builders, not analysts, for a critical core role:
*Senior TypeScript (SDK & Platform):* You will architect our frictionless, AI-native SDK to scale our ecosystem. This is not a CRUD web dashboard. You will build a heavy local desktop application that bridges directly with a high-performance Rust data layer. You must treat the browser engine as a runtime for heavy local apps. The standard is simple: if the SDK is too messy for us to build blocks at AI-speed, it is too messy for the world.
The Offer: * Comp: Top-tier EU salaries (€90k - €120k EUR). * Tax Advantage: Bizkaia has independent tax autonomy. You qualify for the "Special Impatriate Regime" (30% salary tax exemption + expense deductions - up to 50% in total). * The Reality: Your effective tax rate drops to ~15-20%, yielding a significantly higher net income than London or Berlin. * Stock: We grant ESOP and treat equity as a life-changing wealth vehicle, not a "nice to have." * Relocation: Comprehensive "Soft Landing" package (Visa, temporary housing, school search). * Location: Bilbao is a hidden gem—ocean, mountains, and high quality of life with a low cost of living.
Process: No HR screening. You will talk directly to the engineering team.
Email me (I am the CEO): stanp [at] milaboratories [dot] com. Please mention "HN" in the subject and include your GitHub.
We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation. If you are interested check out: https://www.ml6.eu/knowledge-hub/blog and https://www.ml6.eu/customers/cases
Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6. You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).
Open roles include:
• Senior/medior AI Engineer
• Senior AI Project Manager
• Chief Product Owner
and many more!
Apply now at the https://jobs.ml6.eu/
Tables power every clinical trial, financial model, and scientific experiment, but deep learning has mostly ignored them. No natural sequence, no spatial structure, no shared vocabulary across datasets. LLM architectures don't transfer. We built TabPFN, the first foundation model that actually understands tabular data (published in Nature, 3M+ downloads, new SOTA for tabular ML). The hardest problems are still open.
The model is half the product. The other half - training infrastructure, real-time serving, developer platform, reliability - is what turns a research breakthrough into something enterprises trust in production. We're hiring across both.
- ML Engineer, Training Infrastructure — Own GPU infrastructure, distributed training performance, and the developer productivity layer (CI, experiment tracking, model registry) that keeps research moving fast.
- Full Stack Engineer, ML Platform — Build the product that puts tabular foundation models in users' hands, from data upload through inference and results. You'll work across frontend, backend, and directly with the research team to turn new model capabilities into production features.
- Research Engineer, Foundation Model — Design experiments, run ablations, build training infrastructure, contribute to papers. Research engineers here aren't supporting scientists — they are the science team.
- ML Engineer, Cloud Platform — Design and scale the core infrastructure for serving and finetuning foundation models in production. Early enough that you're making the architecture decisions, not inheriting them.
Also hiring: Research Scientist, Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.
20-person team selected from thousands applicants. Backgrounds from Jane Street, Google, CERN, G-Research. Led by Frank Hutter, advised by Yann LeCun and Bernhard Schölkopf. With backing from leaders at Hugging Face, DeepMind, and Black Forest Labs, XTX Ventures & Balderton.
All roles: https://jobs.priorlabs.ai
QUOBYTE | Santa Clara, CA and Berlin, Germany | Full-time / Remote | ONSITE | https://www.quobyte.com/
At Quobyte we are working on a highly scalable and fault-tolerant software storage system built around a parallel file system core. Our customers use us for large scale AI and HPC clusters in the enterprise and research, k8s and OpenStack infrastructures, and as a scalable backend for SaaS products. There are Quobyte clusters which span tens of thousands of machines and slurp 100s of GB/s!
Under the hood, we have built a full-stack fault-tolerant parallel file system, with everything from kernel development over our own replicated database system design to distributed algorithms (Paxos!) and performance. In short: lots of real-world challenging and fun problems!
We work as a highly efficient engineering team, ship frequently, do code reviews, and have lots of unit and integration testing. If you’re passionate about systems, we might be the right place for you!
Berlin, Germany:
* Infrastructure/Support Engineer (40-80k EUR)
For detailed job descriptions please and application process, please visit https://www.quobyte.com/company/careers or write to work at quobyte.com.
flaconi is an online e-commerce for beauty products, founded in 2011 in Berlin. We are active in 12 countries and expanding to more. We're primarily on AWS, use React, Next.js, Vercel for web, Flutter for our mobile app - you will find more details on the job listings.
Note: Visa "sponsorship" takes a while, so ideally you already are in EU / Germany with a work permit.
1. Staff Software Engineer - Frontend - €85.000 - €105.000 EUR - https://grnh.se/kke6q552teu - we will very likely work together. Happy to answer questions.
2. QA Engineer Mobile - €60.000 - €83.000 EUR - https://grnh.se/ad3i2y62teu
We are applying AI to organize corporate events.
We are looking for a senior engineer with at least ten years of full stack experience, a strong focus on product and UX, and optionally some experience building LLM based products. Currently we are focussed on building tooling that enables us to capture domain knowledge from experts to streamline prompt creation and evaluation. Our tech stack is Typescript, React, Next.js and Tailwind. On the backend we use Drizzle with Neon, deployed and monitored via Vercel. Please note that we are working in the CET timezone. We have pre-seed funding from a major US VC and are experienced founders. You’ll be working alongside the founders (ex-Apple, ex-Airbnb, ex-Tulip, ex-Tourlane) and will have a chance to shape the company, product and of course the engineering culture.
Apply here: https://eventfirst.jobs.personio.com/job/1646275
Looking for experienced engineers to build and scale infrastructure and data platforms for a Berlin asset management fund. We are betting big on AI to drive investment returns and build the best infrastructure to support our high alpha targets (track record >30% p.a. since inception; https://bitcap.com/en/bit-global-technology-opportunities-ai...).
You'll design large-scale data pipelines, evolve our lakehouse architecture, strengthen data quality and observability, and build infrastructure for AI/LLM workflows (agentic scaffolding, RAG, LLMOps, AI for engineering). We are looking for a hands-on technical leader, that is steering initiatives end-to-end while staying deep in implementation.
We have our roots in tech entrepreneurship (Jan Beckers), and this mindset still dominates our work culture, even as a regulated financial institution. We are a team of ~40 with a flat hierarchy, hands-on leadership, fast-paced decisions, and a little nerdy culture as people are actually passionate about their work. Stack: AWS, Databricks/Spark, Python, PostgreSQL, Agentic AI.
If the complexity of financial markets excites you as much as the complexity of distributed systems, you'll love it here. Competitive comp, relocation & visa support, stellar team.