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Lead AI Research Scientist

QuantumLeap AI
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
24 Mei 2026
Deadline
25 Mei 2027

Job Description

Join QuantumLeap AI's pioneering team at the forefront of artificial intelligence innovation. We're seeking a visionary Lead AI Research Scientist to architect next-generation machine learning systems that redefine industry standards. In this high-impact role, you'll collaborate with world-class researchers to transform theoretical concepts into scalable AI solutions while mentoring a dynamic team of data scientists. Our cutting-edge lab offers unparalleled resources for developing breakthrough algorithms in natural language processing, computer vision, and generative AI.

QuantumLeap AI fosters a culture of intellectual curiosity where your ideas can shape the future of human-AI collaboration. We provide comprehensive benefits including equity participation, flexible work arrangements, and dedicated R&D time for personal projects. Located in the vibrant tech ecosystem of San Francisco, you'll work alongside industry leaders while maintaining work-life balance through our results-oriented environment.

Responsibilities

  • Design and implement novel deep learning architectures for complex real-world applications
  • Lead cross-functional research initiatives from conceptualization to production deployment
  • Mentor junior researchers and establish best practices for AI model development
  • Collaborate with product teams to translate research outcomes into commercial solutions
  • Publish findings in top-tier AI conferences and journals
  • Stay current with emerging AI trends and evaluate their strategic applicability
  • Ensure ethical AI implementation through rigorous bias mitigation and transparency protocols

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Expertise in PyTorch/TensorFlow with 100k+ parameter model deployment experience
  • Strong background in distributed computing and GPU optimization
  • Demonstrated ability to lead cross-disciplinary AI projects from prototype to production
  • Deep understanding of transformer architectures and modern NLP techniques
  • Excellent communication skills with ability to articulate complex concepts to diverse stakeholders

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision Distributed Systems Research Leadership

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