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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Labs at the forefront of innovation as we shape the future of artificial intelligence. We're seeking a visionary AI Research Scientist to pioneer breakthrough technologies that will define 2026 and beyond. This role offers unparalleled opportunities to work with cutting-edge frameworks, collaborate with world-class researchers, and develop solutions that impact global industries. If you're passionate about pushing AI boundaries and contributing to humanity's technological evolution, this is your calling.

Responsibilities

  • Lead advanced R&D projects in generative AI, quantum computing integration, and autonomous systems
  • Design and implement novel neural architectures for next-generation AI applications
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier conferences and journals (NeurIPS, ICML, etc.)
  • Develop ethical AI frameworks ensuring responsible deployment of emerging technologies
  • Secure research grants and partnerships with leading academic institutions
  • Mentor junior researchers and foster a culture of innovation

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and multimodal AI
  • Publication record at premier AI conferences (NeurIPS, ICML, CVPR)
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in ethical AI development and bias mitigation
  • Experience securing research funding through NSF, DARPA, or industry grants
  • Exceptional problem-solving skills and ability to work with ambiguous future-facing challenges

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Quantum Computing Reinforcement Learning Generative AI Research Ethics

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