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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation. We're seeking a visionary AI Research Scientist to pioneer breakthrough technologies that will define the digital landscape of 2026. You'll collaborate with world-class engineers to develop scalable AI solutions, push the boundaries of machine learning, and shape the future of human-computer interaction.

Our research focuses on quantum AI integration, ethical autonomous systems, and next-generation neural networks. This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and lead projects with global impact. You'll have access to state-of-the-art computing infrastructure and a budget for unlimited experimentation.

Responsibilities

  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Design and implement novel AI architectures for ethical autonomous systems
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Publish peer-reviewed papers and present findings at top-tier conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Develop patents for proprietary AI methodologies and systems
  • Stay ahead of emerging trends to maintain competitive advantage in 2026 tech landscape

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Published record in top-tier ML/NeurIPS/ICML conferences
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proficiency in PyTorch, TensorFlow, and distributed training frameworks
  • Demonstrated ability to lead complex multi-disciplinary research projects
  • Strong background in AI ethics and responsible AI development
  • Experience with large-scale computational infrastructure (AWS/GCP)

Required Skills

Quantum Computing Reinforcement Learning Neural Architecture Search AI Ethics Distributed ML PyTorch Research Leadership

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