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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's AI revolution. We're pioneering quantum neural networks and autonomous systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough solutions in generative AI while collaborating with Nobel laureates and industry disruptors. Our San Francisco campus offers unparalleled resources—including a quantum computing lab—and a culture that celebrates intellectual curiosity.

We're not just building technology; we're creating the ethical frameworks that will guide AI's evolution. Your work will directly impact healthcare diagnostics, climate modeling, and personalized education systems.

Responsibilities

  • Design and implement next-generation AI models using quantum computing principles
  • Lead cross-functional projects integrating NLP, computer vision, and reinforcement learning
  • Publish 3+ peer-reviewed papers in top-tier AI conferences (NeurIPS, ICML)
  • Mentor junior researchers while developing patentable AI methodologies
  • Collaborate with ethics committees to establish bias-mitigation protocols
  • Architect scalable AI infrastructure processing petabytes of real-time data
  • Present findings to C-suite executives and government innovation boards

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry R&D
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in PyTorch, TensorFlow Quantum, and distributed ML frameworks
  • Proven experience deploying production-grade LLMs with 10B+ parameters
  • Deep understanding of quantum machine learning algorithms
  • Strong background in ethical AI development and bias mitigation
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Large Language Models Neural Architecture Search Ethics in AI Distributed ML Reinforcement Learning PyTorch TensorFlow Quantum

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