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AI Research Scientist - 2026 Innovation Lab

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Labs' 2026 Innovation Lab to pioneer the next wave of artificial intelligence breakthroughs. We're seeking a visionary AI Research Scientist to develop transformative solutions that will redefine industries. This role offers unparalleled resources to explore quantum computing, neuromorphic systems, and ethical AI frameworks.

As a key member of our elite research team, you'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility overlooking the Bay. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements for top-tier talent.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and generative AI
  • Design scalable neural architectures for next-generation autonomous systems
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with cross-disciplinary teams to commercialize research breakthroughs
  • Publish findings in top-tier journals and present at global tech conferences
  • Mentor junior researchers and drive innovation through hackathons
  • Secure $5M+ in research grants and partnerships with DARPA/NSF

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years post-doc experience
  • Published record in NeurIPS/ICML/ICLR with >500 citations
  • Expertise in transformer architectures and quantum computing principles
  • Proficiency in PyTorch, TensorFlow, and quantum simulation frameworks
  • Demonstrated ability to secure federal research funding
  • Experience deploying AI models at enterprise scale
  • Strong background in AI ethics and bias mitigation
  • Fluency in distributed computing and high-performance computing systems

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Research Ethics High-Performance Computing

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