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AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect next-generation neural networks and autonomous systems that will redefine industries. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish breakthrough research in Nature/Science journals. You'll work in our state-of-the-art quantum-entangled computing lab with unlimited GPU resources and a $50M annual R&D budget.

We offer relocation assistance, 100% remote flexibility, and equity in a unicorn startup valued at $2B. Our culture combines MIT-caliber rigor with Silicon Valley agility, where 20% of time is dedicated to moonshot projects. Benefits include unlimited PTO, $10k annual wellness stipend, and sabbatical programs.

Responsibilities

  • Design and implement novel deep learning architectures for real-time language processing and multi-modal AI systems
  • Lead cross-functional teams to develop ethical AI frameworks aligned with 2026 regulatory standards
  • Author patents and peer-reviewed publications on quantum-enhanced machine learning techniques
  • Prototype solutions for climate modeling, personalized medicine, and autonomous urban mobility
  • Mentor PhD candidates and organize global hackathons for emerging AI talent
  • Optimize neural networks for edge deployment on next-gen quantum processors
  • Collaborate with policy advisors to shape AI governance frameworks for 2026

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with 3+ years of industry research experience
  • Published work at NeurIPS/ICML/ICLR with >500 citations
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Proficiency in PyTorch/TensorFlow with experience on 10k+ GPU clusters
  • Track record of shipping production AI systems serving >1M users
  • Deep understanding of AI ethics, bias mitigation, and explainable AI
  • Experience with MLOps pipelines and continuous model deployment

Required Skills

AI Research Deep Learning Quantum Computing Neural Networks Reinforcement Learning PyTorch TensorFlow MLOps Ethics AI

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