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AI Research Scientist - 2026 Visionary

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
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 will redefine human-computer interaction. As an AI Research Scientist, you'll architect breakthrough solutions in neural networks, quantum machine learning, and autonomous decision-making frameworks. Our cross-functional teams collaborate in state-of-the-art labs to solve humanity's most complex challenges, from climate modeling to personalized medicine. Enjoy unparalleled resources, flexible research hours, and equity in a company backed by leading venture capital firms.

Responsibilities

  • Lead advanced R&D projects in generative AI and cognitive computing
  • Develop novel algorithms for unsupervised learning and real-time data processing
  • Collaborate with quantum computing teams to hybridize classical/quantum models
  • Publish 3+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers and build cross-departmental innovation pipelines
  • Secure $2M+ in annual research grants through strategic proposals
  • Translate theoretical models into production-ready enterprise solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with transformer architectures and LLMs
  • Proven track record of deploying AI systems at scale (10M+ users)
  • Expertise in PyTorch, TensorFlow, and quantum computing frameworks
  • Published research in NeurIPS/ICML/ICLR with 500+ citations
  • Strong background in reinforcement learning and multi-agent systems
  • Experience securing federal/state research grants
  • Portfolio demonstrating 3+ industry-changing AI innovations

Required Skills

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

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