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AI/ML Research Lead (2026 Vision)

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we architect the AI landscape of 2026. We seek a visionary Research Lead to pioneer next-generation machine learning paradigms that will redefine industries. This role offers unparalleled opportunity to shape humanity's digital future through cutting-edge research and strategic innovation.

As a Research Lead, you'll drive breakthroughs in autonomous systems, quantum-ML integration, and ethical AI frameworks. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, where your work directly impacts Fortune 500 roadmaps. We offer competitive compensation, unlimited R&D budget, and flexible work arrangements for optimal productivity.

Responsibilities

  • Architect and execute multi-year R&D roadmap for 2026 AI capabilities
  • Lead cross-functional teams of PhD researchers and engineers in ML innovation
  • Develop patent-pending algorithms for quantum-enhanced neural networks
  • Establish industry benchmarks for ethical AI deployment frameworks
  • Secure $10M+ in government/private research grants
  • Present findings at premier conferences (NeurIPS, ICML) and publish in Nature
  • Mentor next-gen AI talent through our Quantum Fellowship program

Qualifications

  • PhD in Computer Science/AI/ML with 8+ years research leadership
  • Published 50+ peer-reviewed papers in top-tier venues
  • Proven track record securing $5M+ in research funding
  • Expertise in quantum computing and neuromorphic architectures
  • Experience deploying ML systems at petabyte-scale production
  • Strong background in AI ethics and regulatory frameworks
  • Exceptional strategic planning and stakeholder management skills
  • Fluency in Python, TensorFlow/PyTorch, and C++

Required Skills

Machine Learning Quantum Computing Neural Networks AI Ethics Research Leadership Strategic Planning TensorFlow Python

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