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AI Research Scientist (2026 Technologies)

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

Job Description

Join Nexus AI Labs at the forefront of artificial intelligence innovation as we pioneer breakthrough technologies shaping 2026 and beyond. We're seeking a visionary AI Research Scientist to lead transformative projects in machine learning, quantum computing, and neural networks. You'll collaborate with Nobel laureates and industry pioneers to develop next-generation AI systems that redefine human-machine interaction.

Our state-of-the-art lab offers unparalleled resources including quantum processors, neuromorphic computing clusters, and access to proprietary datasets. This role combines deep technical expertise with entrepreneurial spirit, allowing you to publish groundbreaking research while building commercial applications that impact billions.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and neuromorphic computing
  • Develop novel AI architectures for 2026-era autonomous systems and human-AI collaboration
  • Design and implement large-scale distributed training frameworks for trillion-parameter models
  • Author peer-reviewed publications for top-tier conferences (NeurIPS, ICML, CVPR)
  • Translate theoretical breakthroughs into patentable commercial applications
  • Mentor PhD researchers and cross-functional engineering teams
  • Shape AI ethics frameworks for 2026 regulatory landscapes

Qualifications

  • PhD in Computer Science, Quantum Computing, or equivalent with 5+ years industry experience
  • Expertise in quantum algorithms, tensor networks, and neuromorphic hardware
  • Proven track record publishing in top-tier AI/ML conferences
  • Mastery of PyTorch, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
  • Experience with petabyte-scale data processing and distributed systems
  • Strong background in computational neuroscience and cognitive architectures
  • Demonstrated ability to lead complex R&D projects from concept to deployment

Required Skills

Quantum Computing Machine Learning Neuromorphic Computing PyTorch TensorFlow Quantum Algorithms Distributed Systems Neural Networks AI Ethics Research Leadership

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