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Mitte is an AI creative suite — the agentic OS for creative teams.
Engineering (Berlin, on-site):
- Senior Full-Stack Engineer (Go, React): https://mitte.ai/careers/role/GZHn1_O6 - Senior Frontend Engineer (React, TS, Redux): https://mitte.ai/careers/role/5qi8KR4D - Senior Backend Engineer (Elixir, Go): https://mitte.ai/careers/role/oaFnPm0A - Founding Engineer (Go, React): https://mitte.ai/careers/role/7VTbvOae Growth & People: - AI Educator (Remote): https://mitte.ai/careers/role/ZxfzRYO0 - Founder's Associate: https://mitte.ai/careers/role/0dSWgqG1 Apply at: https://mitte.ai/careersThank you.
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/
Deep learning transformed text and images but mostly skipped tables, even though they're behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer. We're building the foundation-model approach for tabular data. We started with TabPFN. v2 was published in Nature and set a new state of the art on tabular benchmarks; since release we've scaled capabilities ~20x and crossed 3M+ downloads and 6k+ GitHub stars. The hard problems are still open: scaling to millions of rows, low-latency inference, new data modalities, and the infrastructure to run all of it in production.
Open roles: - Senior ML Infrastructure Engineer - own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. We spend tens of millions/year on compute; you own that budget. Train your own architecture if you've got one. - ML Engineer, Cloud Platform - design and scale the backend and infra that serve and finetune the models. Python/FastAPI, Terraform, K8s. - Full Stack Engineer, ML Platform - build the product end to end, data upload through inference. TS + Python, React/FastAPI/Postgres. - Research Scientist, Foundation Model - drive the model agenda: novel architectures, scaling 10K to 1M+ samples, multimodal and causal directions. PhD + top-venue publications or equivalent.
Also hiring: Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.
30-person team with backgrounds from Google, G-Research, Jane Street, Goldman, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.
All roles: https://priorlabs.ai/careers
Looking for the key engineering leader 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 >35% 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 45 tech- & investment experts 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.
Reach out via: marc.thanhaeuser@bitcap.com