(Senior) AI Scientist (m/f/d)

eigenblue • New York, NY

30d

About The Position

eigenblue is building the future of engineering by creating intelligent systems that solve complex problems and integrating them with human expertise. Our proprietary AI models generate system architectures across software, electronics, mechanics, and applied physics. As a (Senior) AI Scientist, you will contribute to advancing the reasoning core of our proprietary system, our multidisciplinary engineering world model, to surpass current LLM-based capabilities.

Requirements

• PhD (or equivalent research experience) in Machine Learning, Computer Science, Physics, Applied Mathematics, or a related computational field.
• Strong publication record or demonstrable research depth in advanced AI, generative modeling, reinforcement learning, world models, or graph-based reasoning.
• Hands-on experience with transformer and/or diffusion architectures beyond natural language: structured, constrained, or multimodal generation.
• Comfort working with formal representations: ontologies, typed graphs, constraint satisfaction, or symbolic-neural hybrid systems.
• Solid software engineering practice (Python, PyTorch/JAX): ability to take research from notebook to reproducible pipeline.
• Excellent written and verbal communication skills in English.
• Ability to collaborate effectively across multidisciplinary teams.

Responsibilities

• Work directly on engineering advanced AI systems and world model's reasoning algorithms.
• Develop simulation environments and reinforcement learning, planning and control methods for robotics and mechatronics systems.
• Research and develop neural generative reasoning over formal, ontology-constrained representations (transformer/diffusion-based architecture generation).
• Design constraint-aware combinatorial and graph search methods that combine neural proposal operators with deterministic solvers and physics-based simulations.
• Work on causal modeling, physical plausibility, and cross-domain constraint propagation within a typed engineering ontology.
• Generate and validate synthetic, physically-grounded training data for rare, costly, or safety-critical engineering scenarios.
• Publish internally and, where relevant, externally, contributing to eigenblue's scientific credibility in the field.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree