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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuraTech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join NeuraTech Labs at the forefront of artificial intelligence innovation! We're seeking visionary AI Research Scientists to develop groundbreaking solutions for 2026 and beyond. As a key member of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to push the boundaries of machine learning, neural networks, and quantum computing. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 10,000-core quantum computing cluster and dedicated ethical AI labs. Enjoy competitive compensation, flexible work arrangements, and the opportunity to shape humanity's technological future.

Responsibilities

  • Lead advanced research projects in generative AI, autonomous systems, and human-computer interaction
  • Develop novel algorithms for next-generation neural networks with 10M+ parameter optimization
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish breakthrough findings in top-tier journals and present at global AI conferences
  • Mentor junior researchers and contribute to open-source AI frameworks
  • Ensure ethical AI development through rigorous bias mitigation and transparency protocols

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent top-tier venues
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Deep understanding of transformer architectures, reinforcement learning, and MLOps
  • Strong background in ethical AI governance and responsible innovation frameworks
  • Experience with quantum computing APIs (Qiskit, Cirq) preferred
  • Exceptional problem-solving skills with ability to tackle unsolved technical challenges

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Neural Networks Quantum Computing AI Ethics MLOps Reinforcement Learning Distributed Systems

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