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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthroughs in artificial intelligence for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative solutions that will shape the future of human-computer interaction and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation and collaboration.

This role combines deep technical expertise with innovative thinking to solve complex challenges in natural language processing, quantum computing integration, and ethical AI frameworks. You'll work alongside Nobel laureates and industry pioneers to create systems that push the boundaries of what's possible.

Responsibilities

  • Design and implement cutting-edge AI architectures for next-generation autonomous systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI governance frameworks ensuring responsible deployment of advanced systems
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise ecosystems
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and foster innovation through hackathons and workshops

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of industry experience
  • Expertise in advanced neural network architectures (Transformers, GANs, Diffusion Models)
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in quantum computing frameworks (Qiskit, Cirq) and neuromorphic hardware
  • Demonstrated experience with large-scale distributed computing systems
  • Strong background in AI ethics, bias mitigation, and regulatory compliance
  • Fluency in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP/Azure)

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks NLP Ethics in AI TensorFlow PyTorch AWS GCP Python Distributed Systems

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