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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect the next generation of intelligent systems that will redefine industries. You'll work in our cutting-edge San Francisco lab, collaborating with Nobel laureates and industry disruptors to transform theoretical breakthroughs into real-world applications. This role offers unparalleled opportunities to shape the future of artificial intelligence while enjoying competitive compensation, flexible work arrangements, and a culture that celebrates innovation.

Responsibilities

  • Lead breakthrough research in quantum machine learning and neural networks for 2026-era applications
  • Design and implement novel AI architectures capable of autonomous decision-making and adaptive learning
  • Collaborate with cross-functional teams to integrate AI solutions into next-gen robotics and IoT platforms
  • Publish peer-reviewed research in top-tier journals and present findings at global tech conferences
  • Mentor junior researchers and establish ethical frameworks for advanced AI deployment
  • Drive innovation in generative AI models capable of creating complex, context-aware solutions
  • Develop patentable technologies addressing challenges in climate modeling, healthcare diagnostics, and autonomous systems

Qualifications

  • PhD in Computer Science, Machine Learning, or Quantum Computing with 5+ years of research experience
  • Proven track record of publishing in NeurIPS, ICML, or Nature Machine Intelligence
  • Expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks like Qiskit
  • Deep understanding of transformer architectures, reinforcement learning, and federated learning
  • Experience with MLOps and deploying AI models at enterprise scale
  • Strong background in ethical AI development and bias mitigation techniques
  • Ability to translate complex research into practical applications with measurable business impact

Required Skills

Machine Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Ethics MLOps

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