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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Quantum Leap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to architect transformative artificial intelligence systems that will redefine industries. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco hub, where innovation meets impact.

Your work will directly shape the future of autonomous systems, quantum computing interfaces, and ethical AI frameworks. We offer unparalleled resources, flexible work arrangements, and equity in a mission-driven environment.

Responsibilities

  • Design and implement cutting-edge machine learning models for predictive analytics and autonomous decision-making
  • Lead cross-functional R&D initiatives focused on 2026-era technology integration
  • Publish breakthrough research in top-tier AI/ML conferences and journals
  • Develop ethical AI governance frameworks aligned with global regulatory standards
  • Mentor junior researchers and foster collaborative innovation within our quantum AI lab
  • Translate theoretical advances into scalable production-ready solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Proven expertise in deep learning architectures (transformers, GANs, reinforcement learning)
  • Published research in NeurIPS, ICML, or equivalent tier conferences
  • Strong programming skills in Python, TensorFlow/PyTorch, and distributed computing
  • Experience with quantum computing algorithms and hybrid AI-quantum systems
  • Demonstrated ability to lead high-stakes R&D projects with measurable impact
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Python TensorFlow Quantum Computing Research Leadership AI Ethics Autonomous Systems

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