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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological innovation as we architect the future of AI. We're seeking visionary Research Scientists to develop groundbreaking solutions that will define 2026's digital landscape. This role offers unparalleled opportunities to work with cutting-edge quantum computing, neural networks, and ethical AI frameworks in a collaborative, R&D-driven environment.

As a key member of our Future Horizons division, you'll contribute to projects that will transform industries worldwide. We offer competitive compensation, flexible work arrangements, and access to state-of-the-art research facilities. Be part of shaping tomorrow's technology today.

Responsibilities

  • Design and implement advanced AI algorithms for next-generation autonomous systems
  • Lead research initiatives in quantum machine learning and neural architecture optimization
  • Collaborate with cross-functional teams to develop ethical AI governance frameworks
  • Publish groundbreaking research in top-tier AI/ML journals and conferences
  • Develop scalable prototypes for real-world deployment in 2026 technology ecosystems
  • Mentor junior researchers and foster innovation through hackathons and workshops

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing principles
  • Proven track record of publishing in NeurIPS/ICML/AAAI or equivalent venues
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with large-scale distributed computing and cloud-based ML infrastructure
  • Demonstrated ability to translate complex research into practical applications

Required Skills

Machine Learning Quantum Computing Neural Networks Deep Learning Reinforcement Learning Python TensorFlow PyTorch Research Methodology Data Science

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