Research Scientist - #945586

kausable


Datum: vor 2 Tagen
Stadt: Heidelberg, BW
Gehalt: 70.000 € - 160.000 € pro Jahr
Vertragstyp: Ganztags

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.

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