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Senior AI Research Scientist

QuantumLeap AI
San Francisco
Salary Estimate
USD 200.000 – USD 280.000
Latest
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join QuantumLeap AI's pioneering team to redefine the boundaries of artificial intelligence. We're seeking a visionary Senior AI Research Scientist to architect next-generation machine learning solutions that transform industries. At QuantumLeap, you'll collaborate with Nobel laureates and industry disruptors in a culture that values audacious innovation and intellectual curiosity.

Our San Francisco hub offers unparalleled resources: dedicated GPU clusters, $50M+ annual R&D budget, and partnerships with MIT and Stanford. This is your opportunity to publish breakthrough research while building scalable AI products used by millions.

Responsibilities

  • Lead research in advanced ML domains: generative AI, reinforcement learning, and multimodal systems
  • Architect and deploy production-grade AI models serving 10M+ users
  • Publish 3+ peer-reviewed papers annually at NeurIPS/ICML/ICLR
  • Mentor junior researchers and cross-functional engineering teams
  • Translate theoretical breakthroughs into enterprise-ready solutions
  • Secure $2M+ in government/industry research grants
  • Shape AI ethics frameworks and responsible development practices

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 5+ years industry experience
  • Proven track record of SOTA publications in top-tier AI conferences
  • Mastery of PyTorch/TensorFlow and distributed ML systems
  • Expertise in at least one specialized area: NLP, computer vision, or RL
  • Experience leading ML teams and managing research roadmaps
  • Demonstrated ability to commercialize AI research
  • Strong background in AI ethics, bias mitigation, and explainable AI
  • Proficiency with cloud platforms (AWS/GCP/Azure) ML services

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Natural Language Processing Computer Vision Reinforcement Learning Research Python Distributed Systems

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