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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join our pioneering team at QuantumLeap Technologies to shape the future of artificial intelligence. We're seeking visionary AI Research Scientists to develop next-generation solutions for 2026 and beyond. This role offers unparalleled opportunities to work with cutting-edge quantum computing frameworks and neural network architectures while collaborating with Nobel laureates and industry disruptors.

Our state-of-the-art lab in San Francisco provides resources for breakthrough research in generative AI, autonomous systems, and human-computer interfaces. We offer competitive compensation, flexible work arrangements, and a culture that celebrates intellectual curiosity and rapid prototyping.

Responsibilities

  • Design and implement novel AI algorithms for quantum-enhanced machine learning systems
  • Lead research initiatives in generative adversarial networks and transformer architectures
  • Collaborate with cross-functional teams to prototype and deploy AI solutions
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive innovation through hackathons and internal competitions
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Published research in NeurIPS, ICML, or equivalent tier-1 conferences
  • Strong background in quantum computing algorithms or neuromorphic engineering
  • Proven track record of translating research into production systems
  • Experience with large-scale dataset processing and MLOps pipelines
  • Excellent communication skills with ability to articulate complex concepts

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Data Science

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