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AI/ML Research Scientist (2026 Vision)

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological frontier! We're pioneering next-generation AI/ML systems that will redefine human-machine interaction. As a Research Scientist, you'll architect breakthrough algorithms in quantum computing integration, ethical AI frameworks, and autonomous neural networks. Our state-of-the-art incubator in downtown San Francisco offers unparalleled resources for prototyping and deploying scalable solutions that impact billions.

What You'll Experience:

  • Collaborate with Nobel laureates and Turing Award winners
  • Access to $50M+ R&D budget and quantum computing clusters
  • Equity package with 4-year vesting schedule
  • Unlimited PTO and flexible hybrid work model

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead cross-functional teams in deploying ethical AI governance frameworks
  • Develop quantum-classical hybrid algorithms for exponential performance gains
  • Author peer-reviewed publications in top-tier AI/ML conferences
  • Drive innovation in explainable AI and bias mitigation techniques
  • Secure patents for proprietary neural network optimization methods
  • Mentor junior researchers in emerging AI paradigms

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years publishing in NeurIPS/ICML/ICLR venues
  • Expertise in PyTorch/TensorFlow with 100M+ parameter model deployment
  • Published work on quantum machine learning or neuromorphic computing
  • Proficiency in C++ for high-performance algorithm implementation
  • Demonstrated experience with federated learning frameworks
  • Strong background in AI ethics and regulatory compliance
  • Track record of leading open-source AI projects with 5K+ GitHub stars

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Neural Networks PyTorch TensorFlow Ethics in AI Quantum-Classical Algorithms

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