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AI Research Scientist - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of technological evolution for 2026. We're seeking visionary AI Research Scientists to architect the future of artificial intelligence through groundbreaking research and development. This role offers unparalleled opportunity to shape next-gen AI systems that will redefine industries worldwide. Our collaborative environment empowers you to explore uncharted territories in machine learning while working alongside Nobel laureates and Turing Award winners.

Located in San Francisco's tech epicenter, Nexus AI Labs provides state-of-the-art resources and competitive benefits including equity, flexible work arrangements, and dedicated R&D budgets. Help us build the AI landscape for 2026 and beyond.

Responsibilities

  • Lead advanced research in quantum machine learning and neural architecture optimization for 2026-era applications
  • Develop novel AI frameworks capable of autonomous adaptation in dynamic environments
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Collaborate with engineering teams to prototype and deploy research innovations
  • Secure $2M+ in annual research grants through NIH, NSF, and DARPA proposals
  • Mentor PhD candidates and postdoctoral researchers in emerging AI paradigms
  • Architect ethical AI governance frameworks for 2026 deployment standards

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
  • 5+ years of research experience in deep learning, reinforcement learning, or generative AI
  • Published record in top-tier AI conferences with >50 citations per paper
  • Expertise in PyTorch, TensorFlow, and distributed computing frameworks
  • Proficiency in high-performance computing (HPC) and quantum computing APIs
  • Demonstrated success in securing federal research grants
  • Strong background in AI ethics, bias mitigation, and responsible AI development

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research AI Ethics High-Performance Computing

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