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AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of artificial intelligence in 2026 with QuantumLeap Labs! We're seeking visionary AI Research Scientists to pioneer breakthrough technologies at the intersection of quantum computing, neural networks, and cognitive systems. Join our elite team of innovators in San Francisco, where you'll develop next-generation AI solutions that will redefine industries.

As a key architect of our 2026 AI roadmap, you'll collaborate with Nobel laureates and industry pioneers in state-of-the-art labs. We offer competitive compensation, unlimited PTO, and a relocation package for top talent. Help us build the intelligent systems that will power the next decade of human progress.

Responsibilities

  • Design and implement novel AI architectures for quantum-enhanced machine learning systems
  • Lead cross-functional research initiatives in generative AI, autonomous agents, and neuro-symbolic computing
  • Develop patentable algorithms for ethical AI deployment and explainable decision-making frameworks
  • Collaborate with quantum hardware teams to optimize AI-quantum hybrid systems
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor PhD researchers and guide junior scientists in advanced AI methodologies
  • Translate theoretical innovations into scalable production-ready solutions

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field (or equivalent research experience)
  • 5+ years in advanced AI research with 3+ publications at NeurIPS/ICML/ICLR
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum programming languages
  • Strong background in reinforcement learning, generative adversarial networks, and transformer architectures
  • Proven ability to lead complex research projects with measurable impact
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Exceptional problem-solving skills with ability to abstract complex real-world challenges

Required Skills

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

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