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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for the 2026 landscape. We seek an innovative AI Research Scientist to develop cutting-edge machine learning models that will redefine industries. In this pivotal role, you'll collaborate with world-class teams to create scalable AI systems while contributing to our patent portfolio and peer-reviewed publications. Our culture champions breakthrough thinking with flexible work arrangements, competitive equity packages, and state-of-the-art research facilities. If you're passionate about shaping tomorrow's technological paradigm, we invite you to apply.

Responsibilities

  • Design and implement advanced neural network architectures for 2026-era applications
  • Lead cross-functional R&D initiatives focusing on quantum-AI hybrid systems
  • Develop scalable ML pipelines for real-time data processing at petabyte scale
  • Author high-impact research papers and secure intellectual property protections
  • Mentor junior researchers while establishing new industry benchmarks
  • Collaborate with product teams to translate research into market-ready solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years developing production-grade AI/ML systems at scale
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Published record in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong background in ethical AI development and bias mitigation
  • Experience with quantum computing integration in hybrid systems preferred

Required Skills

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

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