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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

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

Job Description

Join QuantumLeap Labs at the frontier of technological evolution. As we approach 2026, we're pioneering the next generation of AI systems that will redefine human-computer interaction. Our multidisciplinary team of visionaries is developing autonomous cognitive architectures and quantum-resistant neural networks. This role offers unparalleled opportunity to shape the technological landscape of the coming decade while working in a state-of-the-art facility with unlimited computational resources.

We provide comprehensive benefits including equity, unlimited PTO, and a $15,000 annual learning stipend. Our campus features on-site childcare, a meditation garden, and gourmet chef-prepared meals.

Responsibilities

  • Architect next-gen AI models with autonomous learning capabilities
  • Lead breakthrough research in quantum machine learning algorithms
  • Develop ethical AI frameworks for 2026-era applications
  • Collaborate with neuroscientists to create brain-inspired computing systems
  • Publish findings in top-tier journals and present at global conferences
  • Mentor junior researchers in emerging AI paradigms
  • Secure $2M+ in annual research grants

Qualifications

  • PhD in Computer Science/AI with 5+ years industry experience
  • Published record in top-tier ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures and reinforcement learning
  • Proficiency in quantum computing frameworks (Qiskit, Cirq)
  • Strong background in computational neuroscience
  • Experience securing federal research grants (NSF, DARPA)
  • Fluency in Python, PyTorch, and distributed computing
  • Portfolio of open-source contributions with 10k+ GitHub stars

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Deep Learning Python PyTorch Reinforcement Learning Research Ethics

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