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AI Research Scientist (2026 Vision)

NexusAI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the future of artificial intelligence with NexusAI Labs. We're seeking a visionary AI Research Scientist to pioneer breakthrough technologies that will redefine industries by 2026. Join our elite team in San Francisco and lead projects at the intersection of quantum computing, neural networks, and autonomous systems.

Why NexusAI Labs? We're not just building AI – we're architecting tomorrow's intelligence. Our state-of-the-art research facility in the heart of Silicon Valley offers unparalleled resources to explore uncharted territories in machine learning. With a culture that celebrates bold experimentation and rapid prototyping, you'll have the freedom to transform theoretical concepts into tangible innovations.

This role is ideal for researchers passionate about solving humanity's most complex challenges. You'll collaborate with Nobel laureates and industry pioneers while developing the foundational technologies that will power the next decade of AI evolution.

Responsibilities

  • Lead research initiatives in next-gen AI architectures (quantum neural networks, neuromorphic computing)
  • Develop novel algorithms for 2026-era autonomous systems and human-AI collaboration
  • Publish breakthrough research in top-tier journals (Nature AI, Science Robotics)
  • Architect scalable AI frameworks with 100x efficiency improvements
  • Mentor cross-functional teams in translating research into production-ready solutions
  • Secure $5M+ in government/private research grants annually
  • Present findings at global AI summits (NeurIPS 2026, Davos AI Forum)

Qualifications

  • PhD in AI/ML/Computer Science with 5+ years industry research experience
  • Published ≥3 papers at NeurIPS/ICML/CVPR in the last 3 years
  • Expertise in quantum machine learning or neuromorphic computing
  • Proficiency in PyTorch, TensorFlow Quantum, and Cirq
  • Track record of developing patent-pending AI systems
  • Experience securing federal research grants (NSF, DARPA)
  • Fluency in distributed ML frameworks (Ray, Horovod)
  • Demonstrated ability to lead international research consortia

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Neural Networks Autonomous Systems Research PyTorch TensorFlow Quantum Neuromorphic Computing

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