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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we build the AI-powered systems of 2026. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine human-computer interaction. Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and ethical AI development. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility with unlimited computational resources.

This role offers unparalleled opportunities to publish groundbreaking research, shape industry standards, and contribute to projects that will impact billions of lives. We provide competitive equity packages, flexible work arrangements, and dedicated research budgets.

Responsibilities

  • Design and implement novel neural architectures for quantum-enhanced machine learning
  • Lead research initiatives in explainable AI and ethical algorithm development
  • Collaborate with hardware engineers to optimize models for next-gen quantum processors
  • Publish 3+ peer-reviewed papers annually in top-tier AI conferences
  • Develop patentable solutions for real-world industry challenges
  • Mentor junior researchers and cross-functional teams
  • Stay current with emerging AI paradigms and regulatory frameworks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing
  • Published research in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with MLOps pipelines and large-scale distributed training
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate theoretical research into production systems

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Deep Learning Reinforcement Learning PyTorch TensorFlow MLOps

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