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2026 AI Research Lead

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join QuantumLeap Innovations as we pioneer the next frontier of artificial intelligence. As our 2026 AI Research Lead, you'll architect breakthrough solutions that redefine human-machine collaboration. This is your chance to shape the future of autonomous systems, ethical AI frameworks, and quantum computing integration. We're seeking a visionary who thrives at the intersection of cutting-edge research and real-world application.

Our San Francisco hub offers state-of-the-art labs, competitive benefits, and unparalleled opportunities to work alongside Nobel laureates and industry disruptors. If you're passionate about solving humanity's most complex challenges through AI innovation, this role is your launchpad.

Responsibilities

  • Lead cross-functional teams in developing next-gen AI models for 2026 deployment
  • Architect ethical AI frameworks ensuring compliance with emerging global regulations
  • Drive quantum-AI hybrid system research for exponential computational gains
  • Collaborate with product teams to translate research into market-ready solutions
  • Secure $5M+ in research grants and publish top-tier conference papers
  • Mentor junior researchers and foster innovation through hackathons and symposiums

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record publishing at NeurIPS/ICML/ICLR with 20+ citations
  • Expertise in transformer architectures, quantum machine learning, and federated systems
  • Experience securing federal research grants (NSF/DARPA preferred)
  • Strong background in AI ethics and bias mitigation frameworks
  • Proficiency in Python, PyTorch, and distributed computing (Kubernetes/AWS)
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Research Machine Learning Quantum Computing Ethical AI Research Leadership Grant Writing Transformer Architectures PyTorch Kubernetes AWS

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