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Artificial Intelligence 🏢 Full Time ⭐️ Verified

2026 AI Research Scientist

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 2026's AI revolution! We're seeking a visionary Research Scientist to develop next-generation artificial intelligence systems that will reshape industries by 2026. This role offers unparalleled opportunities to work on bleeding-edge projects in quantum machine learning, neural network optimization, and ethical AI frameworks. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facility in San Francisco.

We offer competitive compensation, unlimited PTO, and a comprehensive benefits package including equity. Our culture values intellectual curiosity, collaborative innovation, and work-life integration. If you're passionate about building the future of AI, we want to hear from you.

Responsibilities

  • Design and implement novel AI architectures targeting 2026 computational capabilities
  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop ethical AI frameworks for autonomous systems
  • Publish breakthrough research in top-tier AI journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Collaborate with product teams to translate research into commercial applications
  • Secure $5M+ in research funding through competitive grants

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in advanced AI research and development
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in neural network optimization and scalability
  • Experience with large-scale distributed computing systems
  • Proven ability to translate theoretical research into practical applications
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Deep Learning Neural Networks Machine Learning Research AI Ethics PyTorch TensorFlow Distributed Systems

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