🟧 At kausable, we're pioneering a reasoning-first approach to AI, developing a foundation that's fundamentally different from Large Language Models. While today's models rely heavily on pattern matching and massive pre-training, we're focussing on logical reasoning and adaptability.
We are creating agentic AI that
* learns in-context from just a few examples,
* opens up whole new domains and skills without retraining,
* generalizes across tasks and modalities.
If you're an experienced researcher, smart, creative, and inspiring – you'll fit right in!
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🏭 Our Company
We just raised a large funding round with investors from Black Forest Labs (a pioneer in visual generation), tech experts, and a strong network of advisors and supporters.
Tasks
🔬 Our research and development currently revolves around generating synthetic world data, training and validating deep-learning models, creating and facilitating capable embedders for various domains and modalities. You'll have the opportunity to
* design and scale deep neural networks pre-trained on synthetic data for active learning and dynamic task solving,
* develop new model architectures and datasets for real-world reasoning,
* extend synthetic-data pipelines and evaluate across tasks and modalities,
* collaborate on open-source initiatives and contribute to research publications.
Requirements
👀 We're looking for research scientists with a strong background in one or more of these topics:
* Active Learning
* Meta-Learning
* Causality
* Modelling of complex and evolving systems
* Reinforcement Learning
* Bayesian Learning, Bayesian Optimization
Our recommended qualifications are:
* A PhD in ML, Physics, or equivalent - or MSc with exceptional experience
* A strong grasp of causality, meta-learning, PFNs, and active inference
* The ability to work independently and think from first principles
* Hands-on experience with modern ML tooling and research workflows
* An outcome-oriented mindset
Additional nice-to-haves you might bring:
* Publications in NeurIPS, ICML, ICLR, ECCV/ICCV, or similar
* Experience with graph-based models or synthetic data generation
* Open-source contributions
Benefits
🫂 Our Culture
We are “Putting Science at the Core of AI.” – with all its curiosity, daringness, and humanity. That means, we
* are scientists at heart, with a builder’s mindset,
* are open to challenge, grounded in curiosity and respect,
* welcome diverse perspectives and value thoughtful as well as open debate,
* focus on outcomes and real-world impact,
* create and foster an environment of support, inspiration, and freedom for everyone to do their best work.
🏆 Perks & Benefits
* Competitive salary + equity
* Social insurances (statutory health, pension, etc.)
* Conference travel
* Flexible working hours with work-from-home options
* Pragmatic and supportive coworkers
⚒️ Tools and Infrastructure
* Python, PyTorch, PyTorch Lightning
* Weights and Biases
* Docker
* RunPod
* AWS
* A high-end laptop of your choice
🫶 Sounds like it's for you?
-> ☕ Send us your favorite way to drink coffee along with your CV or LinkedIn! We'll get back to you soon.
If it's a match, we'll get to know each other in one to three casual interviews.
We are pioneering a reasoning-first approach to AI, rooted in causal world models and live-long learning.
🏭 We are experienced founders, advisors, investors – and have convened to propel Europe ahead in the global race for AI leadership. While much of the scene is eyeing Silicon Valley and China for AI innovation, Europe, especially Baden-Wurttemberg, proves it can hold the candle to the big players when it comes to research but also company building. Think scientific output of Heidelberg, Freiburg, Munich, Tübingen and Black Forest Labs, Mistral, Latent Labs, Deep Mind, Aleph Alpha.
With our startup from Heidelberg and Karlsruhe we just raised a large funding round with investors from Black Forest Labs (a pioneer in visual generation), tech experts, and a strong network of advisors and supporters.