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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of innovation as we redefine AI capabilities for 2026. We're seeking visionary AI Research Scientists to develop transformative machine learning models that will shape the next decade of technological evolution. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to pioneer breakthroughs in quantum computing, neural networks, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 10,000-qubit quantum processor and real-world deployment platforms. Enjoy competitive compensation, equity, and the opportunity to leave an indelible mark on humanity's digital future.

Responsibilities

  • Lead research initiatives in next-gen AI architectures (2026 roadmap)
  • Develop novel deep learning frameworks for quantum-classical hybrid systems
  • Collaborate with hardware teams to optimize AI models for neuromorphic chips
  • Publish groundbreaking research in top-tier journals/conferences
  • Drive ethical AI standards and responsible innovation frameworks
  • Mentor junior researchers and cross-functional AI teams
  • Translate theoretical concepts into scalable production systems

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years in advanced ML research with 3+ publications at NeurIPS/ICML
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Experience deploying AI models at scale (10M+ user systems)
  • Strong background in theoretical computer science and complexity theory
  • Demonstrated ability to lead multi-disciplinary research initiatives

Required Skills

Quantum Computing Neuromorphic Systems Deep Learning PyTorch Distributed AI Research Leadership Ethics in AI

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