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Research Scientist

Research Scientist

Research Scientist

Research Scientist

kausable GmbH

Computer-Software

Heidelberg

  • Verifizierte Job-Anzeige
  • Art der Anstellung: Vollzeit
  • 70.000 € – 160.000 € (Unternehmensangabe)
  • Hybrid

Research Scientist

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Über diesen Job

Intro

🟧 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

Closing

🫶 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.

Unternehmens-Details

company logo

kausable GmbH

Computer-Software

Heidelberg, Deutschland

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