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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of technological innovation as we shape the future of artificial intelligence. We're seeking a visionary AI Research Scientist to pioneer breakthroughs that will redefine industries by 2026. Our dynamic team operates at the intersection of quantum computing and neural networks, creating solutions for autonomous systems, climate modeling, and next-gen human-computer interfaces.

As a key member of our research division, you'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility overlooking the Bay. We offer unparalleled resources, including access to our quantum computing cluster and exclusive partnerships with MIT and Stanford's AI labs. Your work will directly impact projects ranging from real-time climate prediction to advanced medical diagnostics.

Responsibilities

  • Design and implement novel machine learning architectures for quantum-enhanced neural networks
  • Lead research initiatives in explainable AI and ethical algorithm development
  • Develop prototypes for autonomous decision-making systems using reinforcement learning
  • Collaborate with cross-functional teams to integrate research into commercial applications
  • Publish breakthrough findings in top-tier journals and conferences
  • Mentor junior researchers and contribute to patent development
  • Stay ahead of emerging AI trends through continuous experimentation

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry experience
  • Expertise in quantum machine learning and hybrid classical-quantum algorithms
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Proficiency in Python, TensorFlow Quantum, and PyTorch with quantum extensions
  • Deep understanding of transformer architectures and attention mechanisms
  • Experience with distributed computing frameworks (Ray, Dask)
  • Strong background in ethics and bias mitigation in AI systems

Required Skills

Quantum Computing Machine Learning Neural Networks Python TensorFlow Quantum PyTorch Reinforcement Learning Explainable AI Distributed Computing Algorithm Development

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