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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

Nexus Labs
San Francisco, CA
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're seeking an exceptional AI Research Scientist to pioneer breakthroughs in neural networks, quantum computing, and ethical AI frameworks. You'll lead cross-functional teams to develop next-generation AI systems that will redefine industries, while ensuring responsible and scalable implementation. Our collaborative environment fosters groundbreaking research with real-world impact, offering unparalleled resources and mentorship from industry pioneers.

Responsibilities

  • Design and implement cutting-edge AI algorithms for quantum-enhanced machine learning systems
  • Lead research initiatives in explainable AI and bias mitigation frameworks
  • Collaborate with product teams to translate research into commercial applications
  • Publish findings in top-tier conferences and contribute to open-source AI communities
  • Develop ethical guidelines for 2026-era AI deployment and governance
  • Mentor junior researchers and foster a culture of innovation
  • Secure research funding through federal and private grants

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in advanced AI research with published papers
  • Expertise in quantum computing algorithms and neural network architectures
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in ethical AI development and responsible innovation
  • Experience securing research funding and managing scientific projects
  • Ability to translate complex technical concepts for diverse stakeholders

Required Skills

Quantum Computing Neural Networks Ethical AI Machine Learning TensorFlow Research Leadership Explainable AI Distributed Systems

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