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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect breakthrough systems that will redefine industries. You'll collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab, translating theoretical AI into transformative applications. This role offers unparalleled resources to push the boundaries of neural networks, quantum computing, and autonomous systems.

Our culture rewards intellectual courage and cross-disciplinary innovation. You'll shape the future while enjoying competitive equity, unlimited learning stipends, and flexible work arrangements designed for peak creativity.

Responsibilities

  • Lead R&D projects in next-gen AI architectures for 2026 deployment
  • Design scalable machine learning models processing petabytes of real-time data
  • Collaborate with robotics teams to implement AI-driven autonomous systems
  • Develop ethical frameworks for advanced AI decision-making algorithms
  • Publish peer-reviewed research in top-tier AI and quantum computing journals
  • Secure $5M+ in government/industry grants for frontier AI research
  • Mentor postdoctoral researchers in emerging AI paradigms

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
  • Published record in NeurIPS/ICML/JMLR with 50+ citations
  • Expertise in transformer architectures, federated learning, and neuromorphic computing
  • Proficiency in PyTorch/TensorFlow with C++ optimization skills
  • Experience securing DARPA/NIST grants for AI research
  • Deep understanding of quantum machine learning principles
  • Track record of commercializing AI research products
  • Strong background in AI ethics and bias mitigation frameworks

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow AI Ethics Federated Learning Quantum ML C++ Research Leadership

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