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AI Research Scientist - 2026 Vision Lab

Nexus Futures Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Futures' revolutionary 2026 Vision Lab and pioneer the next wave of artificial intelligence. We're assembling elite minds to develop autonomous systems that will redefine human-machine interaction by 2026. This role offers unparalleled access to quantum computing resources and cross-industry partnerships with Fortune 500 leaders. You'll shape the future of AI ethics, develop neural network architectures, and publish breakthrough research in top-tier journals. Our collaborative, startup-culture environment combines Silicon Valley agility with enterprise-grade resources. Relocation assistance and equity package included.

Responsibilities

  • Design and implement advanced neural network architectures for autonomous decision-making systems
  • Lead cross-functional R&D teams in developing ethical AI frameworks for 2026 deployment
  • Pioneer quantum-enhanced machine learning algorithms for real-world applications
  • Collaborate with NASA and DARPA on next-gen human-AI symbiosis projects
  • Author peer-reviewed publications and present at IEEE/ACM conferences
  • Secure $5M+ in research grants through NSF and DoE partnerships
  • Mentor PhD candidates in our sponsored AI ethics fellowship program

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in Nature/Science or top-tier AI conferences (NeurIPS, ICML)
  • Expertise in transformer architectures and quantum machine learning frameworks
  • Proven track record of securing federal research grants (NSF, DARPA preferred)
  • Proficiency in PyTorch, TensorFlow, and quantum computing SDKs
  • Strong background in AI safety and alignment research
  • Experience deploying models at scale in production environments
  • Patents in neural network optimization or generative AI systems

Required Skills

Artificial Intelligence Machine Learning Neural Networks Quantum Computing Deep Learning Python TensorFlow PyTorch Research Ethics Grant Writing

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