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AI Research Scientist 2026 - San Francisco, CA

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

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer breakthrough AI solutions for the 2026 horizon. We're seeking visionary AI Research Scientists to architect next-generation neural networks and quantum computing frameworks that will redefine human-machine interaction. Our dynamic team operates at the intersection of theoretical research and practical application, offering unparalleled resources to transform ambitious ideas into reality.

As a key contributor, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay. We provide comprehensive benefits including equity participation, unlimited learning stipends, and flexible work arrangements designed to fuel your creativity. This is your opportunity to shape the technological landscape of tomorrow while accelerating your career trajectory.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era quantum computing systems
  • Lead cross-functional research initiatives in generative AI and autonomous decision-making
  • Develop ethical AI frameworks ensuring alignment with human values and regulatory compliance
  • Publish breakthrough research in top-tier journals (Nature, Science, NeurIPS)
  • Mentor junior researchers and foster collaborative innovation across global teams
  • Translate theoretical models into scalable production systems with 99.99% reliability
  • Secure $10M+ in research grants through compelling proposals and thought leadership

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field with 5+ years industry experience
  • Published 15+ peer-reviewed papers in AI/ML at venues like ICML, CVPR, or arXiv
  • Expertise in PyTorch, TensorFlow Quantum, and quantum circuit design
  • Proven track record of deploying production AI systems handling >10B daily transactions
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with MLOps frameworks (Kubeflow, MLflow) and GPU acceleration
  • Exceptional problem-solving abilities demonstrated through Kaggle top-10 finishes or equivalent

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Deep Learning PyTorch TensorFlow Quantum Reinforcement Learning MLOps Research Ethics

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