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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026

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 2026 and beyond. We seek visionary AI Research Scientists to architect the next generation of intelligent systems that will redefine human-machine collaboration. This role offers unparalleled opportunities to work with quantum computing, neural-symbolic AI, and autonomous systems in an environment where innovation thrives.

Our state-of-the-art research hub in San Francisco provides access to cutting-edge infrastructure and collaborative spaces where your ideas can transform into groundbreaking realities. We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Design and implement advanced AI models for next-generation autonomous systems
  • Lead research in quantum machine learning and neural-symbolic integration
  • Develop ethical frameworks for AI deployment in 2026+ technological landscapes
  • Collaborate with cross-functional teams to translate research into scalable solutions
  • Publish findings in top-tier journals and present at industry conferences
  • Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (TensorFlow/PyTorch) and quantum computing principles
  • Proven track record of publishing in NeurIPS/ICML/AAAI or equivalent venues
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with AI ethics, bias mitigation, and responsible AI development
  • Ability to lead complex research projects with minimal supervision
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Reinforcement Learning AI Ethics Python TensorFlow PyTorch Research

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