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Senior AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer solutions for 2026's most pressing challenges. We're seeking a visionary Senior AI Research Scientist to develop next-generation machine learning models that will redefine industries. Our collaborative environment empowers you to work on cutting-edge projects in quantum computing integration, autonomous systems, and ethical AI frameworks. Enjoy competitive compensation, flexible work arrangements, and the opportunity to shape tomorrow's technological landscape today.

Responsibilities

  • Lead development of novel neural architectures for quantum-enhanced machine learning systems
  • Design and implement scalable AI solutions for autonomous decision-making platforms
  • Collaborate with cross-functional teams to translate research prototypes into production-ready systems
  • Publish breakthrough findings in top-tier AI/ML conferences and journals
  • Mentor junior researchers while maintaining rigorous academic standards
  • Ensure all AI systems adhere to ethical guidelines and regulatory compliance standards
  • Drive innovation in federated learning and privacy-preserving AI techniques

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience developing production-grade AI/ML systems
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing principles
  • Proven track record of publishing peer-reviewed research in top-tier venues
  • Strong programming skills in Python, C++, and distributed computing frameworks
  • Experience with MLOps pipelines and cloud deployment (AWS/GCP/Azure)
  • Demonstrated ability to lead complex research initiatives from conception to implementation

Required Skills

Machine Learning Deep Learning Quantum Computing Python PyTorch TensorFlow Research AI Ethics MLOps Distributed Systems

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