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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough solutions in quantum computing integration, neural network optimization, and ethical AI frameworks. Our dynamic team thrives on innovation, offering unparalleled resources to transform theoretical concepts into real-world applications.

Located in San Francisco's innovation district, you'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility. We offer comprehensive benefits, flexible work arrangements, and dedicated R&D budgets for your experimental projects. This is your chance to shape the AI landscape that will dominate the 2020s.

Responsibilities

  • Lead research initiatives in quantum-enhanced machine learning algorithms
  • Develop novel neural architectures for autonomous decision-making systems
  • Design ethical frameworks for bias mitigation in high-stakes AI applications
  • Collaborate with engineering teams to prototype and validate research concepts
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in TensorFlow/PyTorch and quantum computing frameworks
  • Strong background in reinforcement learning and generative models
  • Proven ability to translate research into scalable production systems
  • Experience with MLOps and cloud-based AI infrastructure
  • Demonstrated commitment to responsible AI development practices

Required Skills

Machine Learning Quantum Computing TensorFlow PyTorch Reinforcement Learning Neural Networks MLOps Research

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