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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuroFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join NeuroFuture Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum neural networks and ethical autonomous systems. As a key innovator, you'll collaborate with Nobel laureates and industry disruptors to shape the next decade of human-machine symbiosis. Our state-of-the-art lab in San Francisco offers unparalleled resources for transforming theoretical concepts into real-world applications that will redefine how humanity interacts with technology.

NeuroFuture Labs provides a dynamic environment where your ideas can flourish. We offer competitive equity packages, flexible research budgets, and dedicated time for patent development. Our culture values intellectual curiosity as much as technical excellence, with regular hackathons and sponsored conference attendance to keep you at the cutting edge of AI innovation.

Responsibilities

  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop ethical frameworks for next-gen autonomous decision systems
  • Author breakthrough publications in top-tier AI journals and conferences
  • Collaborate with hardware teams to optimize AI-neuromorphic computing interfaces
  • Secure federal grants and industry partnerships for frontier AI research
  • Mentor postdoctoral fellows in emerging AI paradigms
  • Translate theoretical models into scalable prototype systems

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 5+ years of AI research
  • Published work in Nature/Science or NeurIPS/ICML proceedings
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in Python, PyTorch, and quantum computing frameworks
  • Demonstrated experience securing research funding ($1M+ preferred)
  • Strong background in AI ethics and alignment research
  • Patent portfolio in AI or machine learning systems
  • Experience with large-scale distributed computing environments

Required Skills

Machine Learning Deep Learning Quantum Computing AI Ethics Reinforcement Learning PyTorch Research Methodology Data Science

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