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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering AI systems that will redefine human-machine interaction, and we need visionary minds to architect the future. This role offers unparalleled opportunities to work on bleeding-edge projects with global impact, collaborate with Nobel laureates, and shape the next decade's digital landscape.

Our state-of-the-art facility in San Francisco's innovation hub provides an environment where creativity meets computational power. We offer competitive compensation, comprehensive benefits, and the autonomy to explore your boldest ideas.

Responsibilities

  • Design and implement novel AI architectures for 2026-era autonomous systems
  • Lead cross-functional teams in developing quantum-optimized machine learning models
  • Publish groundbreaking research in top-tier AI conferences and journals
  • Collaborate with product teams to translate theoretical innovations into commercial applications
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure federal and private grants for next-generation AI initiatives
  • Participate in shaping industry standards for ethical AI deployment

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years of research experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in transformer architectures, quantum computing, or neuromorphic systems
  • Strong programming proficiency in Python, PyTorch, and TensorFlow
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Experience securing research funding ($1M+ preferred)
  • Passion for ethical AI development and societal impact

Required Skills

Machine Learning Quantum Computing Deep Learning Python PyTorch TensorFlow Research Leadership Ethics in AI

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