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AI Research Scientist - 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence innovation as we pioneer breakthroughs for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will shape the future of technology. Our state-of-the-art facility in San Francisco offers unparalleled resources for research and development, with competitive compensation and comprehensive benefits package.

As part of our elite R&D team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer flexible schedules, remote work options, and dedicated research time to fuel your creativity. If you're passionate about pushing AI boundaries and contributing to transformative breakthroughs, QuantumLeap Labs is your ideal destination.

Responsibilities

  • Design and implement cutting-edge machine learning models for 2026-era applications
  • Lead research initiatives in quantum computing integration with AI systems
  • Develop novel neural architectures for unsupervised learning breakthroughs
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier journals and present at international conferences
  • Secure research grants and patents for innovative AI methodologies
  • Mentor junior researchers and contribute to our knowledge ecosystem

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Strong mathematical background in linear algebra, calculus, and probability
  • Experience with large-scale distributed computing and GPU optimization
  • Portfolio demonstrating significant research contributions to AI advancement
  • Ability to secure competitive research funding and manage complex projects

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research Data Science Python CUDA Distributed Systems

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