Research Scientist

kausable GmbH; Heidelberg; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

Join a pioneering AI company focusing on logical reasoning and adaptability. As a research scientist, you will design neural networks, contribute to innovative research, and work in a culture that values curiosity and collaboration. Enjoy a competitive salary, flexible hours, and opportunities for professional growth.

Leistungen

Competitive salary and equity

Conference travel opportunities

Flexible working hours and work-from-home options

Supportive coworkers

Qualifikationen

• Strong grasp of causality, meta-learning, PFNs, and active inference required.
• Hands-on experience with modern ML tools and research workflows expected.
• Publications in top AI conferences desired.

Aufgaben

• Design and scale deep neural networks pre-trained on synthetic data.
• Collaborate on open-source initiatives and contribute to research publications.
• Extend synthetic-data pipelines and evaluate across tasks and modalities.

Kenntnisse

Machine Learning

Python

Deep Learning

Natural Language Processing

Ausbildung

PhD in ML, Physics, or equivalent

MSc with exceptional experience

Tools

Weights and Biases

Docker

RunPod

Jobbeschreibung

At kausable, we are pioneering a reasoning-first approach to AI, developing a foundation fundamentally different from Large Language Models. While today's models rely heavily on pattern matching and massive pre-training, we focus 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 have recently raised significant funding with investors from Black Forest Labs (a pioneer in visual generation), along with tech experts and a strong network of advisors and supporters.

Tasks

Our R&D focuses on generating synthetic world data, training and validating deep-learning models, and creating capable embedders for various domains and modalities. You will 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 seek research scientists with a strong background in one or more of these areas:

• Meta-Learning
• Modeling of complex and evolving systems

Preferred qualifications include:

• 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 tools and research workflows
• An outcome-oriented mindset

Additional desirable skills:

• Publications in NeurIPS, ICML, ICLR, ECCV, ICCV, or similar
• Experience with graph-based models or synthetic data generation
• Open-source contributions

Our Culture

We put science at the core of AI, embracing curiosity, daringness, and humanity. 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 and open debate
• focus on outcomes and real-world impact
• create an environment of support, inspiration, and freedom for everyone to excel

We offer:

• Competitive salary and equity
• Conference travel opportunities
• Flexible working hours and work-from-home options
• Supportive coworkers

Tools and Infrastructure

• Weights and Biases
• Docker
• RunPod
• A high-end laptop of your choice

Interested?

Send us your favorite way to drink coffee along with your CV or LinkedIn! We'll get back to you soon.

If there's a match, we'll arrange 1-3 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: $70,000 - $160,000