Research Scientist
Research Scientist
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EUR 70000 - 160000
1 Vacancy
Job Description
At kausable were pioneering a reasoning-first approach to AI developing a foundation thats fundamentally different from Large Language Models. While todays models rely heavily on pattern matching and massive pre-training were 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 youre an experienced researcher smart creative and inspiring youll 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. Youll 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
Were 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 builders 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 its for you
-> Send us your favorite way to drink coffee along with your CV or LinkedIn! Well get back to you soon.
If its a match well get to know each other in one to three casual interviews.
Employment Type
Full Time
