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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Innovations

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

Job Description

Join QuantumLeap Dynamics as we pioneer the next frontier of artificial intelligence. As an AI Research Scientist focused on 2026 innovations, you'll architect breakthrough solutions that will redefine industries. Our cross-functional team operates at the intersection of quantum computing, neural networks, and sustainable AI. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab overlooking the San Francisco Bay. We offer competitive equity, unlimited learning stipends, and flexible hybrid work arrangements. Help us build the intelligent infrastructure of tomorrow.

Responsibilities

  • Lead R&D initiatives for next-gen AI systems targeting 2026 deployment milestones
  • Develop novel algorithms integrating quantum computing with deep learning architectures
  • Publish peer-reviewed research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Translate theoretical models into scalable production-ready prototypes
  • Mentor junior researchers and cross-functional engineering teams
  • Secure patents for proprietary AI methodologies and optimization techniques
  • Partner with product teams to align research with market-ready innovations

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Proven track record of publishing in top-tier AI/ML conferences
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in ethical AI development and bias mitigation
  • Experience leading large-scale research projects with measurable impact
  • Ability to secure external funding through government and industry grants

Required Skills

Machine Learning Quantum Computing Deep Learning Neural Networks Python TensorFlow PyTorch Research Ethics Distributed Systems

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