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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Research Lead

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Shape the future of artificial intelligence as our 2026 AI Research Lead at QuantumLeap Technologies. We're pioneering breakthrough neural architectures that will redefine human-machine interaction by 2026. Join our elite team of visionaries in San Francisco, where you'll drive next-gen AI development for Fortune 500 clients and disruptive startups alike. This role offers unparalleled influence in the AI landscape with competitive compensation, equity, and the opportunity to publish groundbreaking research.

Our state-of-the-art lab in the SOMA district provides access to quantum computing resources and petabyte-scale datasets. You'll collaborate with Nobel laureates and lead projects that directly impact healthcare automation, climate modeling, and autonomous systems. We offer flexible hybrid work arrangements, comprehensive benefits, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement cutting-edge AI frameworks targeting 2026 technological milestones
  • Lead cross-functional research teams in developing novel neural network architectures
  • Publish top-tier conference papers and secure patents in AI innovation
  • Collaborate with product teams to translate research into commercial solutions
  • Establish ethical AI governance protocols for enterprise deployments
  • Manage $2M+ research budget and allocate resources to high-impact projects
  • Mentor PhD researchers and foster an environment of scientific excellence

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 8+ years of hands-on AI research with proven publication record
  • Expertise in transformer architectures, federated learning, and quantum AI
  • Experience leading teams that delivered production-grade AI systems
  • Strong background in ethical AI frameworks and responsible innovation
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated ability to secure research funding from NSF or corporate partners
  • Excellent communication skills for technical and executive audiences

Required Skills

AI Research Machine Learning Neural Networks Quantum Computing PyTorch TensorFlow Federated Learning Ethical AI Research Leadership Scientific Publishing

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