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2026 AI Research Lead

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as our 2026 AI Research Lead. We're pioneering next-generation artificial intelligence systems that will redefine industries and transform human-computer interaction. This pivotal role offers the opportunity to shape the future of intelligent automation while working with world-class researchers in our state-of-the-art San Francisco facility.

We seek a visionary leader with a passion for pushing computational boundaries. You'll drive research initiatives that bridge theoretical breakthroughs with practical applications, ensuring our innovations remain at the cutting edge of the AI revolution.

Responsibilities

  • Lead cross-functional teams in developing advanced AI systems for 2026 market needs
  • Design and implement novel machine learning architectures for complex problem-solving
  • Collaborate with product teams to translate research into scalable commercial solutions
  • Secure and manage research funding through strategic partnerships and grants
  • Present breakthrough findings at industry conferences and peer-reviewed journals
  • Mentor junior researchers and foster an environment of continuous innovation
  • Ensure ethical AI development and responsible deployment practices

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 8+ years of experience in AI research with 3+ years in leadership roles
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Proven ability to translate complex algorithms into production-ready systems
  • Strong background in quantum computing or neuromorphic systems preferred
  • Experience securing research funding through government/private grants

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Distributed Systems Research Leadership Ethics in AI

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