Research Scientist

kausable; Heidelberg; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A pioneering AI company in Heidelberg seeks an experienced research scientist to lead innovative projects focusing on logical reasoning and adaptability. Candidates will design deep neural networks and engage in cutting-edge research, working in a vibrant and supportive environment with competitive compensation and benefits. If you have a PhD or equivalent expertise in ML and enjoy exploring complex systems, we want to hear from you!

Leistungen

Competitive salary + equity

Social insurances (statutory health, pension, etc.)

Conference travel

Flexible working hours with work-from-home options

Qualifikationen

• Strong grasp of causality, meta-learning, and active inference.
• Hands-on experience with modern ML tooling and research workflows.
• Ability to work independently and think from first principles.

Aufgaben

• Design and scale deep neural networks for active learning.
• Develop new model architectures and datasets for real-world reasoning.
• Collaborate on open-source initiatives and contribute to research.

Kenntnisse

Active Learning

Meta-Learning

Causality

Reinforcement Learning

Bayesian Learning

Ausbildung

PhD in ML, Physics, or equivalent

Tools

Python

PyTorch

Docker

AWS

Jobbeschreibung

???? 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.