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AI Research Scientist 2026

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine industries. Our state-of-the-art facility in San Francisco offers an unparalleled environment for innovation, collaboration with world-class researchers, and access to cutting-edge computing resources. This role is critical in shaping the future of autonomous systems, quantum AI integration, and ethical algorithm development.

At QuantumLeap, we believe in transforming theoretical breakthroughs into practical applications that solve humanity's most pressing challenges. You'll work in a dynamic, interdisciplinary team where your ideas can rapidly scale from concept to deployment.

Responsibilities

  • Lead breakthrough research in advanced neural networks and quantum-enhanced machine learning
  • Design and implement novel AI architectures for 2026-era applications
  • Collaborate with cross-functional teams to deploy prototypes in production environments
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster innovation within the AI ecosystem
  • Ensure ethical alignment of AI systems with emerging 2026 regulatory frameworks

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and quantum computing principles
  • Proven track record of publishing in NeurIPS, ICML, or similar tier-1 venues
  • Strong proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Experience with large-scale model training (>1B parameters)
  • Demonstrated ability to translate research into commercial applications
  • Deep understanding of 2026-era AI ethics and governance frameworks

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Reinforcement Learning PyTorch TensorFlow Distributed Computing AI Ethics

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