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Research Scientist

Research Scientist

kausable GmbHHeidelberg, Baden-Württemberg, Germany
Vor 7 Tagen
Stellenbeschreibung

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!

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
  • 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.

    Key Skills

    Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C / C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Yearly Salary Salary : 70000 - 160000

    Jobalert für diese Suche erstellen

    Research Scientist • Heidelberg, Baden-Württemberg, Germany