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AI/ML Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we shape the future of AI/ML for 2026 and beyond. We're seeking visionary Research Scientists to pioneer breakthroughs in quantum-adjacent machine learning and autonomous systems. Our cross-functional teams collaborate in state-of-the-art labs to develop solutions that will redefine industries.

This role offers unparalleled opportunities to publish in top-tier journals, lead patent initiatives, and contribute to projects with global impact. Enjoy competitive equity packages, flexible work arrangements, and continuous learning stipends.

Responsibilities

  • Lead research initiatives in quantum-enhanced ML algorithms for 2026-era applications
  • Design and implement novel neural architectures for autonomous decision-making systems
  • Collaborate with hardware engineers to optimize AI models for next-gen quantum processors
  • Publish 2+ peer-reviewed papers annually in top-tier AI/ML conferences
  • Develop ethical frameworks for responsible AI deployment in high-stakes environments
  • Mentor junior researchers and cross-functional teams on emerging AI paradigms
  • Secure $1M+ in annual research grants through compelling proposal development

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry research experience
  • Expertise in transformer architectures, reinforcement learning, and quantum computing principles
  • Published record at NeurIPS, ICML, or equivalent tier conferences
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated experience securing government or corporate research funding
  • Strong background in ethical AI development and bias mitigation
  • Ability to translate complex research into commercial applications

Required Skills

AI/ML Quantum Computing Reinforcement Learning Transformers PyTorch Research Ethics Patent Development

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