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AI Research Scientist (2026 Vision)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to develop transformative artificial intelligence systems that will shape the next decade. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum computing lab, pushing the boundaries of machine learning and neural networks.

Our mission is to create ethical AI that solves humanity's greatest challenges. This role offers unparalleled resources, including access to exascale computing clusters and the world's largest synthetic datasets. You'll publish groundbreaking research and influence the future of AI governance while enjoying Silicon Valley's most competitive compensation package.

Responsibilities

  • Lead cutting-edge research in generative AI and quantum machine learning
  • Design neural architectures for 2026-era autonomous systems
  • Collaborate with quantum computing teams to develop hybrid AI models
  • Author peer-reviewed publications for top-tier conferences (NeurIPS, ICML)
  • Translate theoretical breakthroughs into scalable production systems
  • Mentor junior researchers and cross-functional engineering teams
  • Contribute to AI ethics frameworks and safety protocols

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with AI focus
  • 5+ years experience in deep learning and transformer architectures
  • Published record in top-tier AI/ML conferences
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Expertise in distributed training and model optimization
  • Strong background in statistical modeling and probabilistic programming
  • Demonstrated ability to translate research into commercial applications

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research AI Ethics Distributed Systems

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