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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Labs. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine 2026's digital landscape. Join our elite team in San Francisco and work on cutting-edge projects at the intersection of quantum computing, neural networks, and human-AI collaboration.

This role offers unparalleled opportunities to publish groundbreaking research, develop novel algorithms, and mentor the next generation of AI innovators. Our state-of-the-art lab provides resources to transform theoretical concepts into real-world solutions that will impact billions.

Competitive compensation includes equity, flexible work arrangements, and comprehensive benefits. Join us to accelerate humanity's transition into the AI-powered future.

Responsibilities

  • Design and implement advanced machine learning models for quantum-enhanced computing systems
  • Lead cross-functional research initiatives in explainable AI and ethical algorithm development
  • Collaborate with quantum hardware engineers to optimize AI-quantum hybrid systems
  • Author and publish peer-reviewed research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Develop novel approaches to AI safety alignment and adversarial robustness
  • Mentor junior researchers and foster a culture of scientific excellence
  • Translate theoretical research into scalable production systems with measurable impact

Qualifications

  • PhD in Computer Science, Machine Learning, Quantum Computing, or related field
  • 3+ years of research experience in AI/ML with peer-reviewed publications
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in quantum machine learning or neural-symbolic systems
  • Proven track record of developing innovative AI solutions for complex problems
  • Experience with MLOps and productionizing research models
  • Excellent communication skills with ability to articulate complex concepts

Required Skills

Machine Learning Quantum Computing TensorFlow PyTorch Python Research Neural Networks MLOps

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