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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the next generation of artificial intelligence. We're seeking an exceptional AI Research Scientist to architect breakthrough solutions that will redefine industries. In this role, you'll collaborate with Nobel laureates and Silicon Valley innovators to develop quantum-optimized neural networks and autonomous systems that solve humanity's most complex challenges. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including exascale computing clusters and a dedicated ethics sandbox for responsible innovation. This is your chance to shape the future while enjoying comprehensive benefits including equity, wellness stipends, and flexible remote work options.

Responsibilities

  • Lead research initiatives in quantum machine learning and generative AI models
  • Design and implement novel neural architectures with 10x efficiency improvements
  • Collaborate with cross-functional teams to commercialize research breakthroughs
  • Publish findings in top-tier journals and present at global conferences
  • Develop ethical frameworks for AI deployment in regulated industries
  • Mentor junior researchers and drive innovation sprints
  • Secure $5M+ in research grants through compelling proposals

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Published 20+ peer-reviewed papers in NeurIPS/ICML/ICLR
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Track record of translating research into production systems
  • Strong background in AI ethics and bias mitigation techniques
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Reinforcement Learning Neural Architecture Search Federated Learning AI Ethics PyTorch TensorFlow Generative Models

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