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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that redefine human-machine interaction. As our AI Research Scientist, you'll architect breakthrough solutions in neural networks, quantum computing integration, and ethical AI frameworks. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab, where your innovations will directly shape the future of autonomous systems, predictive analytics, and human augmentation technologies. We offer unparalleled resources, flexible work arrangements, and a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Design and implement novel AI architectures for real-time decision-making systems
  • Lead research initiatives in quantum-AI hybrid computing models
  • Develop ethical frameworks for autonomous system governance
  • Collaborate with cross-functional teams to commercialize research breakthroughs
  • Publish findings in top-tier journals and present at global tech conferences
  • Mentor junior researchers and foster innovation through hackathons

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Proficiency in Python, PyTorch, and cloud-based ML pipelines
  • Strong background in quantum computing principles or neuromorphic engineering
  • Experience securing federal research grants (NSF/NIH/DARPA)
  • Demonstrated ability to translate research into production-scale systems

Required Skills

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

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