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AI Research Scientist (2026 Vision)

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

Job Description

Join FutureCore Labs at the forefront of 2026's technological revolution! We're pioneering quantum-entangled AI systems that will redefine human-machine interaction. As our AI Research Scientist, you'll architect breakthrough algorithms for autonomous systems, neural network optimization, and predictive analytics platforms. Work in our state-of-the-art facility collaborating with Nobel laureates and Turing Award winners to solve humanity's most complex challenges.

Our team operates at the intersection of neuroscience and machine learning, developing ethical frameworks for AGI development. You'll contribute to projects that will shape the next decade of technological advancement while enjoying unparalleled resources and a culture of radical innovation.

Responsibilities

  • Lead R&D for quantum-entangled neural networks and next-gen AI architectures
  • Design ethical frameworks for autonomous decision-making systems
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Collaborate with neuroscience teams to develop biomimetic learning algorithms
  • Optimize computational efficiency for edge-deployable AI systems
  • Mentor junior researchers and patent novel AI methodologies
  • Drive cross-functional projects with robotics and quantum computing teams

Qualifications

  • PhD in Machine Learning, Computer Science, or Computational Neuroscience
  • 5+ years experience in cutting-edge AI research (transformers, GANs, RL)
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in Python, PyTorch, TensorFlow, and high-performance computing
  • Deep understanding of quantum computing principles and quantum algorithms
  • Strong background in ethical AI development and bias mitigation
  • Proven track record of translating research into production systems
  • Experience with large-scale distributed computing (Spark, Kubernetes)

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Ethics in AI High-Performance Computing Research Python

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