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2026 AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation machine learning systems that will reshape industries. Our cutting-edge environment offers unparalleled resources to develop autonomous AI solutions, ethical frameworks, and quantum-enhanced algorithms. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility in San Francisco's tech corridor. This role includes competitive equity, unlimited PTO, and comprehensive benefits for top-tier talent.

Responsibilities

  • Design and implement advanced neural architectures for 2026-era applications
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Pioneer quantum machine learning algorithms for exponential computational gains
  • Author peer-reviewed publications and patent novel AI methodologies
  • Architect scalable AI infrastructure supporting 10M+ concurrent users
  • Mentor junior researchers and publish breakthrough findings at top-tier conferences
  • Collaborate with futurists to align AI development with 2026 societal impact goals

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published record in NeurIPS/ICML/ICLR with 20+ citations per paper
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proficiency in PyTorch/TensorFlow and distributed training frameworks
  • Demonstrated experience leading AI projects with $1M+ budgets
  • Strong background in AI ethics and regulatory compliance frameworks
  • Ability to translate complex technical concepts to non-technical stakeholders

Required Skills

Machine Learning Quantum Computing Neural Networks AI Ethics PyTorch TensorFlow Distributed Systems Research Leadership

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