kausable GmbH

Software Development

1-10

Germany

🟧 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!

\---

🏭 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.

Employee

Professional / Experienced

🟧 At kausable, we&#39;re pioneering a reasoning-first approach to AI, developing a foundation that&#39;s fundamentally different from Large Language Models. While today&#39;s models rely heavily on pattern matching and massive pre-training, we&#39;re focussing on logical reasoning and adaptability.
We are creating agentic AI that
<ul>
<li>learns in-context from just a few examples,</li>
<li>opens up whole new domains and skills without retraining,</li>
<li>generalizes across tasks and modalities.</li>
</ul>
If you&#39;re an experienced researcher, smart, creative, and inspiring – you&#39;ll fit right in!
---
🏭 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.
<h2 id="tasks">Tasks</h2>
🔬 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&#39;ll have the opportunity to
<ul>
<li>design and scale deep neural networks pre-trained on synthetic data for active learning and dynamic task solving,</li>
<li>develop new model architectures and datasets for real-world reasoning,</li>
<li>extend synthetic-data pipelines and evaluate across tasks and modalities,</li>
<li>collaborate on open-source initiatives and contribute to research publications.</li>
</ul>
<h2 id="requirements">Requirements</h2>
👀 We&#39;re looking for research scientists with a strong background in one or more of these topics:
<ul>
<li>Active Learning</li>
<li>Meta-Learning</li>
<li>Causality</li>
<li>Modelling of complex and evolving systems</li>
<li>Reinforcement Learning</li>
<li>Bayesian Learning, Bayesian Optimization</li>
</ul>
Our recommended qualifications are:
<ul>
<li>A PhD in ML, Physics, or equivalent - or MSc with exceptional experience</li>
<li>A strong grasp of causality, meta-learning, PFNs, and active inference</li>
<li>The ability to work independently and think from first principles</li>
<li>Hands-on experience with modern ML tooling and research workflows</li>
<li>An outcome-oriented mindset</li>
</ul>
Additional nice-to-haves you might bring:
<ul>
<li>Publications in NeurIPS, ICML, ICLR, ECCV/ICCV, or similar</li>
<li>Experience with graph-based models or synthetic data generation</li>
<li>Open-source contributions</li>
</ul>
<h2 id="benefits">Benefits</h2>
🫂 Our Culture
We are “Putting Science at the Core of AI.” – with all its curiosity, daringness, and humanity. That means, we
<ul>
<li>are scientists at heart, with a builder’s mindset,</li>
<li>are open to challenge, grounded in curiosity and respect,</li>
<li>welcome diverse perspectives and value thoughtful as well as open debate,</li>
<li>focus on outcomes and real-world impact,</li>
<li>create and foster an environment of support, inspiration, and freedom for everyone to do their best work.</li>
</ul>
🏆 Perks &amp; Benefits
<ul>
<li>Competitive salary + equity</li>
<li>Social insurances (statutory health, pension, etc.)</li>
<li>Conference travel</li>
<li>Flexible working hours with work-from-home options</li>
<li>Pragmatic and supportive coworkers</li>
</ul>
⚒️ Tools and Infrastructure
<ul>
<li>Python, PyTorch, PyTorch Lightning</li>
<li>Weights and Biases</li>
<li>Docker</li>
<li>RunPod</li>
<li>AWS</li>
<li>A high-end laptop of your choice</li>
</ul>
🫶 Sounds like it&#39;s for you?
-&gt; ☕ Send us your favorite way to drink coffee along with your CV or LinkedIn! We&#39;ll get back to you soon.
If it&#39;s a match, we&#39;ll get to know each other in one to three casual interviews.

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