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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering AI solutions that will redefine industries by the end of this decade. As an AI Research Scientist, you'll collaborate with Nobel laureates and Turing Award winners to develop breakthrough algorithms in quantum machine learning and neural networks. Our state-of-the-art lab in San Francisco offers unparalleled resources including quantum computing clusters and petabyte-scale datasets.

We offer competitive equity packages, flexible hybrid work arrangements, and a culture that celebrates intellectual curiosity. Your work will directly impact global sustainability initiatives and next-generation healthcare systems. If you're passionate about shaping tomorrow's AI landscape, this is your calling.

Responsibilities

  • Design and implement novel AI architectures for quantum-computable neural networks
  • Lead cross-functional research projects on explainable AI and ethical algorithm development
  • Publish breakthrough research in top-tier journals and industry conferences
  • Collaborate with product teams to translate research into commercial applications
  • Mentor junior researchers and PhD candidates in cutting-edge methodologies
  • Secure government and private research funding through compelling grant proposals
  • Stay current with emerging AI paradigms including neuromorphic computing

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 3+ years post-doctoral experience
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in quantum computing frameworks and high-performance distributed systems
  • Proficiency in Python, TensorFlow/PyTorch, and low-level optimization frameworks
  • Demonstrated experience with large-scale experimental design and A/B testing
  • Strong background in ethical AI development and bias mitigation techniques
  • Exceptional problem-solving skills for complex, multi-domain challenges

Required Skills

AI Research Quantum Computing Machine Learning Neural Networks TensorFlow PyTorch Python Ethics in AI

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