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2 дня назад

Senior AI Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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