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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's AI revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in generative AI, quantum computing integration, and ethical AI frameworks. As a key member of our innovation hub, you'll collaborate with Nobel laureates and industry disruptors to build the intelligent systems that will define the next decade.

Our state-of-the-art San Francisco campus offers unparalleled resources including quantum computing clusters, neuromorphic hardware, and dedicated ethical AI labs. This role combines deep technical research with real-world impact, focusing on developing scalable AI solutions that address humanity's most pressing challenges.

Responsibilities

  • Design and implement novel neural architectures for 2026-era AI applications
  • Lead cross-functional research projects integrating quantum computing with classical AI systems
  • Develop ethical frameworks for autonomous decision-making algorithms
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Collaborate with product teams to translate research into commercial solutions
  • Mentor junior researchers and contribute to technical roadmap planning
  • Secure federal and industry research grants for cutting-edge AI initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry research experience
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Strong programming skills in Python, TensorFlow/PyTorch, and quantum computing frameworks
  • Deep understanding of AI ethics, bias mitigation, and responsible AI development
  • Experience with large-scale distributed computing and high-performance computing clusters
  • Ability to translate complex research concepts into actionable product strategies

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks AI Ethics Python TensorFlow PyTorch Research

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