ML Researcher, Representation Learning
Your mission
Invent the representations that make matter legible to machines
Most AI systems succeed because the world they model is forgiving. Materials discovery is not.
Your tasks will include:
Define how matter is encoded- Design representations for molecules, materials, and processes that respect physical and chemical structure
- Decide what information should be explicit, implicit, or learned
- Build abstractions that transfer across tasks and domains
- Combine graphs, sequences, text, images, simulations, and experimental data
- Explore how different modalities reinforce or contradict each other
- Move beyond benchmark metrics toward models that support real decisions
- Test ideas in production-grade systems used by scientists
- Collaborate closely with chemists, physicists, and automation teams
- Learn quickly which ideas hold up and which don’t
- Introduce probabilistic reasoning and uncertainty awareness
- Challenge existing paradigms when they break down in physical domains
- Help shape the broader direction of AI-native science at Dunia
Your profile
- PhD or equivalent training in machine learning, computer science, or a closely related quantitative field, with 4–8 years of post-degree experience in research-driven ML roles
- Deep experience in representation learning and modern deep learning architectures
- Track record of designing representations for structured or scientific data that generalize beyond a single task or dataset
- Strong software engineering skills, with experience turning research ideas into robust, maintainable systems
- Comfortable working at the boundary of research and production , theory and engineering
- Curious about the physical world and motivated by applying ML to chemistry, physics, or materials
- Willing to challenge existing paradigms when they break down in real-world settings
- Fluent in English; additional language desirable
About us
Dunia , meaning “world” in over 20 languages, reflects our focus on building technologies that deliver abundance globally. By combining physics, AI, and automation, we accelerate materials discovery for next-generation energy and industrial systems. Our work helps make energy more accessible and materials more affordable and resilient while reshaping how science moves from idea to impact. Join us to work on problems where progress truly compounds.
Need more convincing? --> We strive to create a diverse and inclusive workplace where everyone feels welcome and safe to be their authentic self. Non-traditional career paths are welcome and valued. If you share our vision, you can be certain that we want you to succeed. You might be just the right candidate for this or for other roles that have not opened yet. Reach out, and follow us on !Empfohlene Jobs
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