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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

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 technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative machine learning models that will reshape industries. Our cross-functional teams collaborate in cutting-edge environments where innovation meets practical application. You'll contribute to projects ranging from quantum-enhanced neural networks to autonomous ethical AI frameworks, directly impacting how humanity interacts with technology in the coming decade. This role offers unparalleled opportunities to publish groundbreaking research and shape the future of artificial intelligence.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in quantum machine learning and hybrid AI systems
  • Develop ethical frameworks for autonomous decision-making algorithms
  • Collaborate with engineers to deploy research models in production environments
  • Publish findings in top-tier journals and present at industry conferences
  • Mentor junior researchers and foster innovation through cross-disciplinary collaboration

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Strong proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Experience with quantum computing libraries (e.g., Qiskit, Cirq) preferred
  • Demonstrated ability to translate complex research into practical applications
  • Deep understanding of AI ethics and bias mitigation techniques

Required Skills

Machine Learning Deep Learning Quantum Computing AI Ethics PyTorch TensorFlow Research Neural Networks

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