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AI Research Scientist - 2026 Vision

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 2026's technological revolution. We're seeking visionary AI Research Scientists to architect the next generation of artificial intelligence systems. In this role, you'll pioneer breakthroughs in quantum machine learning, neural architecture optimization, and ethical AI frameworks. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley campus, where innovation meets impact.

What You'll Accomplish:

  • Develop novel AI algorithms capable of autonomous reasoning and creative problem-solving
  • Lead cross-functional teams to implement next-gen neural networks
  • Contribute to open-source initiatives that redefine industry standards
  • Publish groundbreaking research in top-tier journals and conferences

Responsibilities

  • Design and implement advanced AI models using quantum-inspired architectures
  • Lead research initiatives in explainable AI and bias mitigation
  • Collaborate with hardware teams to optimize AI-quantum co-processing
  • Mentor junior researchers and publish 3+ high-impact papers annually
  • Translate theoretical breakthroughs into production-ready solutions
  • Represent the company at global AI summits and technical forums
  • Drive ethical AI frameworks for autonomous systems deployment

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years in advanced AI research with published peer-reviewed papers
  • Expertise in transformer architectures, reinforcement learning, and NLP
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Proven track record of deploying large-scale ML systems
  • Strong background in ethical AI and bias mitigation techniques
  • Experience leading cross-disciplinary research teams
  • Published at NeurIPS/ICML/ICLR or equivalent tier conferences

Required Skills

machine learning quantum computing neural networks NLP PyTorch TensorFlow research ethics reinforcement learning

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