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AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to develop groundbreaking algorithms that will shape the future of human-machine interaction. Our team operates at the intersection of quantum computing, neural networks, and predictive analytics to solve humanity's most complex challenges. This role offers unparalleled opportunities to publish research, lead cross-functional projects, and influence the next wave of AI innovation.

Our state-of-the-art facility in San Francisco provides an environment where curiosity meets resources, with dedicated labs for quantum simulation, neural architecture testing, and large-scale model deployment. You'll collaborate with Nobel laureates, Turing Award winners, and disruptors from top-tier institutions to transform theoretical concepts into real-world applications.

Responsibilities

  • Design and implement novel AI architectures for quantum-enhanced machine learning systems
  • Lead research initiatives in explainable AI, federated learning, and ethical algorithm development
  • Develop predictive models for climate simulation, personalized medicine, and autonomous systems
  • Author peer-reviewed publications and patents for breakthrough AI methodologies
  • Mentor junior researchers and foster collaborative innovation across disciplines
  • Translate theoretical research into production-ready solutions with industry partners
  • Present findings at premier conferences including NeurIPS, ICML, and AAAI

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of research experience
  • Proven expertise in transformer architectures, reinforcement learning, and quantum computing
  • Publication record in top-tier AI journals (Nature, Science, JMLR, etc.)
  • Mastery of PyTorch/TensorFlow, quantum programming frameworks (Qiskit, Cirq), and high-performance computing
  • Demonstrated ability to lead complex multi-disciplinary research projects
  • Strong background in ethical AI frameworks and responsible development practices
  • Experience securing government grants or corporate R&D funding (>$1M preferred)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Deep Learning PyTorch TensorFlow Research Data Science Ethics Reinforcement Learning Quantum Algorithms High-Performance Computing

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