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Information Technology 🏢 Full Time ⭐️ Verified

Futurist AI Research Scientist

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

Job Description

Join 2026 Labs at the forefront of tomorrow's innovations. We're seeking visionary AI Research Scientists to architect breakthrough solutions that redefine human-machine interaction. As a pioneer in predictive intelligence and autonomous systems, you'll collaborate with Nobel laureates and industry disruptors to build technologies that will shape 2026 and beyond. Our state-of-the-art lab in San Francisco offers unparalleled resources for quantum computing, neural networks, and ethical AI development. Enjoy competitive equity, flexible hybrid work, and dedicated R&D funding for your moonshot projects.

Responsibilities

  • Design next-gen AI architectures for predictive analytics and autonomous decision-making systems
  • Lead cross-functional teams in prototyping quantum-resistant algorithms for 2026-era cybersecurity
  • Publish groundbreaking research in top-tier journals (Nature, Science, NeurIPS)
  • Develop ethical frameworks for AGI alignment and human-AI symbiosis
  • Secure $10M+ in federal and private research grants
  • Mentor PhD candidates in emerging AI paradigms
  • Collaborate with futurists to map 5-10 year technological trajectories

Qualifications

  • PhD in Computer Science, AI, or Computational Physics with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (ICML, ICLR, CVPR)
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in quantum programming languages (Q#, Qiskit) and neuromorphic computing
  • Track record of securing DARPA or NSF grants
  • Deep understanding of existential risk mitigation in AI systems
  • Patents in AI ethics or explainable ML systems
  • Experience with 10,000+ parameter models and distributed training frameworks

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Reinforcement Learning Predictive Analytics Ethical AI Quantum-Resistant Algorithms Federated Learning Transformer Architectures

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