Senior AI Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Scientist (AI): Developing advanced reasoning algorithms and world models for multidisciplinary engineering systems with an accent on reinforcement learning, generative modeling, and physics-based simulations. Focus on building neural-symbolic hybrid systems that bridge the gap between formal engineering ontologies and real-world physical implementation.
Location: Must be based in New York, US
Company
is an engineering-focused company building intelligent systems that combine human expertise with proprietary AI models to solve complex multidisciplinary engineering challenges.
What you will do
- Develop reinforcement learning, planning, and control methods for robotics and mechatronics.
- Research neural generative reasoning over formal, ontology-constrained representations.
- Design constraint-aware combinatorial and graph search methods using neural proposal operators.
- Work on causal modeling and cross-domain constraint propagation within engineering ontologies.
- Generate and validate synthetic, physically-grounded training data for safety-critical scenarios.
- Contribute to the company's scientific credibility through internal and external publications.
Requirements
- PhD or equivalent research experience in Machine Learning, Computer Science, Physics, or Applied Mathematics.
- Strong research depth in generative modeling, world models, or graph-based reasoning.
- Hands-on experience with transformer or diffusion architectures for structured/constrained generation.
- Comfort working with formal representations like ontologies, typed graphs, or symbolic-neural hybrid systems.
- Solid software engineering practice in Python and PyTorch or JAX.
- Excellent written and verbal communication skills in English.
Culture & Benefits
- Opportunity to work at the intersection of AI and physical engineering.
- Commitment to equal opportunities, inclusion, and diversity.
- Collaborative environment within a multidisciplinary team.
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