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AI Research Scientist - Future Tech Lab

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer AI systems for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative neural networks and quantum-inspired algorithms that will redefine human-computer interaction. Our state-of-the-art Future Tech Lab offers unparalleled resources to push the boundaries of machine learning, natural language processing, and autonomous systems. Collaborate with Nobel laureates and Turing Award winners in an environment where your innovations could shape the next decade of technology.

We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak creativity. Our culture celebrates intellectual curiosity and rewards breakthrough thinking with industry-leading compensation and global impact opportunities.

Responsibilities

  • Design and implement next-generation AI architectures for 2026-era applications
  • Lead breakthrough research in quantum machine learning and neural-symbolic integration
  • Publish findings in top-tier journals (NeurIPS, ICML, Nature AI) and secure patents
  • Mentor cross-functional teams in translating research into production-ready solutions
  • Develop ethical AI frameworks aligned with emerging 2026 regulatory landscapes
  • Collaborate with government agencies on national AI strategy initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in top-tier AI/ML conferences (minimum 5 NeurIPS/ICML papers)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Experience securing $1M+ in research grants or venture funding
  • Demonstrated ability to lead technical teams of 10+ researchers
  • Strong background in AI ethics and responsible development practices

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Natural Language Processing PyTorch TensorFlow Reinforcement Learning Ethics

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