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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations, a leader in artificial intelligence, as we pioneer the next frontier of technological evolution. We're seeking visionary AI Research Scientists to architect breakthrough solutions that will redefine industries by 2026. In this role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into scalable AI systems that solve humanity's most complex challenges.

Responsibilities

  • Design and implement cutting-edge deep learning models for autonomous systems and predictive analytics
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory landscapes
  • Publish breakthrough research in top-tier journals on quantum-optimized neural networks
  • Architect AI solutions for climate modeling, personalized medicine, and sustainable energy systems
  • Mentor PhD candidates and interns in next-generation AI methodologies
  • Secure $5M+ in research grants from federal and private institutions
  • Present findings at global AI summits including Davos and Neural Information Processing Systems

Qualifications

  • PhD in Machine Learning, Quantum Computing, or Computational Physics with 5+ years industry experience
  • Proven expertise in transformer architectures and generative adversarial networks
  • Published 15+ peer-reviewed papers in Nature/Science journals or equivalent venues
  • Fluency in Python, TensorFlow, PyTorch, and quantum programming languages
  • Experience securing NSF or DARPA grants for AI research initiatives
  • Demonstrated ability to lead international research teams across 3+ continents
  • Deep understanding of AI ethics and responsible development frameworks
  • Proficiency in high-performance computing environments and distributed systems

Required Skills

Machine Learning Deep Learning Quantum Computing TensorFlow PyTorch Research Ethics High-Performance Computing Grant Writing Generative AI Neural Architecture Search

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