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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of artificial intelligence research! We're seeking visionary AI Research Scientists to develop breakthrough solutions that will define 2026's technological landscape. Our state-of-the-art lab in San Francisco offers unparalleled resources to pioneer next-generation AI systems.

As a key member of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to push the boundaries of machine learning, neural networks, and quantum AI applications. We provide competitive compensation, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Lead cutting-edge research in advanced AI architectures and quantum machine learning
  • Develop novel algorithms for autonomous systems and human-AI collaboration frameworks
  • Publish breakthrough findings in top-tier journals and conferences
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Mentor junior researchers and foster innovation through cross-functional workshops
  • Secure patents and intellectual property for groundbreaking AI methodologies

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field
  • 5+ years of research experience in top-tier AI labs or academia
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Strong programming skills in Python, TensorFlow/PyTorch, and distributed computing
  • Experience with quantum computing frameworks and neuromorphic hardware
  • Demonstrated ability to lead complex research projects with measurable impact

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Python Deep Learning Reinforcement Learning

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