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AI Research Scientist - Future Tech Innovations

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution! We're seeking visionary AI Research Scientists to architect breakthrough solutions that will redefine industries by 2026. Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and sustainable AI, pushing the boundaries of what's possible. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility overlooking the San Francisco Bay.

Why QuantumLeap Labs? We offer competitive equity packages, flexible hybrid work arrangements, and access to cutting-edge research resources including our proprietary quantum annealing cluster. Our commitment to ethical AI development ensures your work makes a positive global impact while accelerating the next technological revolution.

Responsibilities

  • Lead R&D initiatives in quantum machine learning and neural network optimization
  • Develop novel algorithms for real-time data processing at petabyte scale
  • Collaborate with hardware teams to co-design next-gen AI accelerators
  • Publish peer-reviewed research in top-tier journals/conferences
  • Mentor junior researchers and cross-functional innovation teams
  • Translate theoretical breakthroughs into patentable technologies
  • Participate in strategic technology roadmapping for 2026-2030

Qualifications

  • PhD in Computer Science, AI, Quantum Physics, or related field
  • 5+ years of applied research in machine learning or quantum computing
  • Published work in NeurIPS, ICML, or Nature Physics
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Proven track record of deploying production AI systems at scale
  • Deep understanding of quantum algorithms and error correction
  • Strong background in ethical AI frameworks and bias mitigation

Required Skills

AI Machine Learning Quantum Computing Neural Networks Python TensorFlow Research High-Performance Computing Ethics

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