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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join QuantumLeap Innovations in 2026 to pioneer the next frontier of artificial intelligence. We're seeking visionary AI Research Scientists to develop breakthrough algorithms that will redefine human-machine interaction. Work in our state-of-the-art lab with cutting-edge quantum computing resources while collaborating with Nobel laureates and Turing Award winners. This role offers unparalleled opportunities to publish in top-tier journals and shape the ethical frameworks of tomorrow's AI systems.

Our competitive compensation package includes equity grants, flexible remote work options, and a $50,000 annual R&D budget. Benefit from our partnership with leading academic institutions and access to exclusive industry conferences in Silicon Valley and beyond.

Responsibilities

  • Design and implement novel deep learning architectures for quantum-classical hybrid systems
  • Lead cross-functional teams to translate theoretical research into production-ready AI solutions
  • Publish groundbreaking findings in Nature/Science journals and top-tier ML conferences
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Collaborate with neuroscientists to brain-inspired AI models
  • Secure $2M+ in annual research grants through strategic proposal development
  • Mentor PhD candidates and postdoctoral researchers in our AI incubator

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience with publications at NeurIPS/ICML/ICLR
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in Python, TensorFlow/PyTorch, and quantum SDKs
  • Demonstrated ability to secure government and corporate research funding
  • Strong background in AI ethics and regulatory compliance frameworks
  • Experience with large-scale distributed computing infrastructure (AWS/GCP)
  • Published work on explainable AI or federated learning

Required Skills

Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch Research AI Ethics Neuromorphic Computing

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