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AI Research Scientist - 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

QuantumLeap Labs is pioneering the next frontier of artificial intelligence, and we're seeking visionary AI Research Scientists to join our elite team in San Francisco. As we approach 2026, the landscape of AI is evolving at an unprecedented pace, and we need your expertise to develop breakthrough solutions that will redefine industries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility, working on projects ranging from quantum machine learning to ethical AI frameworks. We offer unparalleled resources, including access to our 10,000-qubit quantum computing cluster and a $50M annual research budget. If you're ready to shape the future of technology, this is your moment.

Responsibilities

  • Lead groundbreaking research in advanced AI domains including generative adversarial networks, neuro-symbolic AI, and multi-agent reinforcement learning
  • Develop novel algorithms to solve complex problems in autonomous systems, climate modeling, and personalized medicine
  • Collaborate with cross-functional teams to translate theoretical research into scalable production models
  • Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at premier conferences
  • Mentor junior researchers and foster a culture of intellectual curiosity and innovation
  • Contribute to ethical AI frameworks and responsible development practices
  • Secure external funding through grants and industry partnerships

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field with 5+ years of industry research experience
  • Proven track record of publishing in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
  • Expertise in quantum computing, neuromorphic engineering, or explainable AI frameworks
  • Proficiency in PyTorch, TensorFlow, and distributed computing architectures
  • Strong background in mathematics (linear algebra, calculus, probability theory)
  • Experience with large-scale data processing and MLOps pipelines
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Passion for ethical AI and responsible innovation

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Data Science Python PyTorch TensorFlow MLOps Research Ethics

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