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AI Research Scientist - Future Technologies

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

Job Description

Shape the technological landscape of 2026 with Nexus Labs. We're pioneering breakthroughs in quantum-AI integration and autonomous systems, and we need visionary AI Research Scientists to lead the charge. Join our interdisciplinary team at the intersection of machine learning, computational neuroscience, and emerging hardware architectures. You'll develop novel algorithms that push the boundaries of what's possible while collaborating with industry leaders to commercialize next-generation solutions.

This role offers unparalleled resources for experimentation—including access to our quantum computing cluster—and the opportunity to publish groundbreaking research. If you're passionate about solving humanity's most complex challenges through AI, this is your chance to define the future.

Responsibilities

  • Design and implement cutting-edge AI models for quantum-entangled neural networks
  • Lead research initiatives in autonomous decision-making systems for 2026-era applications
  • Collaborate with hardware engineers to optimize AI algorithms for next-gen processors
  • Develop ethical frameworks for AI deployment in regulated industries
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Mentor junior researchers and foster innovation in a cross-functional lab environment
  • Translate theoretical breakthroughs into scalable production prototypes

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing APIs
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with MLOps and deploying AI models at scale
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to secure research grants or industry partnerships

Required Skills

Quantum Computing Reinforcement Learning Deep Learning Python PyTorch TensorFlow MLOps Neural Architecture Search Ethics in AI

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