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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking a pioneering AI Research Scientist to architect the next generation of autonomous systems and human-AI collaboration platforms. As a key innovator in our San Francisco R&D hub, you'll develop breakthrough algorithms that will redefine industries by 2026. We offer unparalleled resources, competitive equity packages, and a culture where your most ambitious ideas become reality. Shape the future with us.

Responsibilities

  • Design and implement cutting-edge AI/ML models for predictive analytics and autonomous decision-making
  • Lead cross-functional projects integrating quantum computing with neural networks
  • Pioneer ethical AI frameworks for 2026's regulatory landscape
  • Collaborate with government and industry partners on national AI initiatives
  • Drive innovation in human-AI symbiosis interfaces and explainable AI
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers in emerging AI paradigms

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Proven track record of deploying production-level AI systems at scale
  • Deep understanding of 2026's technological landscape and emerging trends
  • Strong background in AI ethics, bias mitigation, and regulatory compliance
  • Experience with distributed ML frameworks (PyTorch, TensorFlow) and cloud platforms

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Reinforcement Learning AI Ethics Distributed Systems Predictive Analytics Research Publication

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