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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthrough AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to architect next-generation neural networks, develop quantum-enhanced algorithms, and transform industries through autonomous systems. Our dynamic R&D hub in San Francisco offers unparalleled resources to accelerate your innovations while collaborating with Nobel laureates and Turing Award winners.

Why QuantumLeap? We provide state-of-the-art quantum computing clusters, unlimited research budgets, and equity participation in our moonshot projects. Shape the future of artificial intelligence while enjoying competitive compensation, flexible work arrangements, and comprehensive wellness benefits.

Responsibilities

  • Design and implement novel deep learning architectures for real-world deployment
  • Lead quantum machine learning research initiatives with 100+ qubit processors
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with cross-functional teams to prototype commercial applications
  • Publish breakthrough research in top-tier AI/quantum journals
  • Mentor junior researchers and contribute to patent portfolios

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 3+ years industry experience
  • Proven expertise in transformer architectures and reinforcement learning
  • Proficiency with quantum programming frameworks (Qiskit, Cirq)
  • Published record in NeurIPS/ICML/ACL or equivalent conferences
  • Strong background in ethics and bias mitigation for AI systems
  • Experience with distributed ML frameworks (TensorFlow, PyTorch)
  • Ability to translate complex theories into scalable solutions

Required Skills

Quantum Computing Deep Learning Neural Networks Reinforcement Learning Machine Learning AI Ethics Python TensorFlow PyTorch Qiskit

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