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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Futures Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Futures Labs at the forefront of 2026's technological revolution! We're seeking an AI Research Scientist to architect the next generation of autonomous systems that will reshape industries. Our multidisciplinary team combines quantum computing, neuromorphic engineering, and ethical AI frameworks to create solutions for tomorrow's challenges. This role offers unparalleled resources to publish breakthrough research and collaborate with Nobel laureates in our state-of-the-art Silicon Valley facility.

What you'll pioneer: Develop hybrid neural networks, contribute to AGI safety protocols, and lead open-source initiatives that will define the AI landscape. We provide competitive equity packages, unlimited R&D budgets, and flexible work arrangements for optimal innovation.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead cross-functional teams in developing quantum-enhanced machine learning models
  • Author peer-reviewed publications in top-tier AI/ML conferences
  • Establish ethical frameworks for autonomous decision-making systems
  • Collaborate with neuromorphic hardware teams to optimize AI performance
  • Identify emerging technological trends and research opportunities
  • Mentor junior researchers and contribute to technical roadmap planning

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Published research in NeurIPS, ICML, or equivalent tier-1 conferences
  • Strong background in reinforcement learning and generative models
  • Experience with large-scale distributed computing systems
  • Proficiency in Python/C++ and high-performance computing environments
  • Demonstrated ability to translate theoretical research into practical applications

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch Reinforcement Learning Neuromorphic Engineering Generative Models

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