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AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence revolution! We're seeking visionary AI Research Scientists to architect the next generation of intelligent systems for our 2026 roadmap. Shape the future of machine learning, quantum AI integration, and autonomous decision-making in a collaborative environment where breakthrough ideas become reality.

Your Impact: Lead pioneering research in generative AI, neural architecture search, and ethical AI frameworks. Collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. Access state-of-the-art quantum computing resources and $20M+ annual R&D budget.

Why QuantumLeap? Be part of the team that achieved 3x industry breakthroughs in 2023. Enjoy unlimited research freedom, patent ownership, and career-defining projects with global impact.

Responsibilities

  • Design and implement novel AI algorithms for quantum-enhanced machine learning systems
  • Lead research initiatives in autonomous AI systems with 2026 deployment targets
  • Develop ethical AI frameworks and bias mitigation strategies
  • Collaborate with cross-functional teams to integrate AI solutions into production
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and foster innovation culture
  • Secure research grants and industry partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Strong background in reinforcement learning and generative models
  • Experience with large-scale distributed computing systems
  • Demonstrated ability to translate research into commercial applications
  • Excellent communication skills for technical and non-technical audiences

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Reinforcement Learning Generative AI PyTorch TensorFlow Neural Architecture Search

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