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AI Research Scientist (2026 Vision)

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

Job Description

Join Nexus AI Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative artificial intelligence systems that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to push the boundaries of machine learning, neural networks, and quantum AI integration. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research, including access to quantum computing clusters and petabyte-scale datasets.

We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for maximum innovation. Shape the future of AI while enjoying comprehensive benefits including four weeks of paid R&D time annually and exclusive partnerships with leading academic institutions.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead cross-functional research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks aligned with 2026 regulatory landscapes
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor PhD candidates and junior researchers through our innovation accelerator program
  • Collaborate with product teams to translate research into commercial applications

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and federated systems
  • Proven track record of publishing in NeurIPS, ICML, or equivalent tier-1 conferences
  • Proficiency with PyTorch, TensorFlow, and quantum computing frameworks
  • Demonstrated ability to lead complex multi-disciplinary research projects
  • Strong background in AI ethics and responsible development practices
  • Experience with large-scale distributed computing environments

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Ethics PyTorch TensorFlow Reinforcement Learning

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