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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Quantum Leap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative machine learning models that will redefine industries. Our collaborative environment empowers you to push boundaries with state-of-the-art infrastructure and unlimited resources. This role offers unparalleled opportunities to shape the future of artificial intelligence while working on projects that impact billions worldwide.

Responsibilities

  • Design and implement cutting-edge deep learning architectures for next-gen AI systems
  • Lead research initiatives in generative AI, quantum computing integration, and neural-symbolic learning
  • Collaborate with cross-functional teams to translate theoretical models into scalable production solutions
  • Publish breakthrough research in top-tier AI conferences and journals
  • Develop ethical frameworks for responsible AI deployment in 2026-era applications
  • Mentor junior researchers and drive innovation through hackathons and internal R&D programs

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and multi-modal AI systems
  • Publication record at NeurIPS, ICML, or equivalent top-tier AI conferences
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
  • Strong background in quantum machine learning and neuromorphic computing
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Experience with ethical AI governance frameworks and responsible innovation practices

Required Skills

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

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