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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine industries by 2026. Collaborate with world-class teams in our state-of-the-art San Francisco hub, where your work will directly shape the future of autonomous systems, quantum computing, and ethical AI frameworks.

We offer unparalleled resources, including access to our $50M research fund and industry partnerships with leading tech giants. Your contributions will accelerate humanity's transition toward sustainable, AI-driven solutions while maintaining rigorous ethical standards.

Responsibilities

  • Lead cutting-edge research in generative AI models and neural network architectures
  • Develop novel algorithms for quantum-AI hybrid computing systems
  • Collaborate with engineering teams to prototype and deploy research findings
  • Publish breakthrough papers in top-tier AI conferences (NeurIPS, ICML)
  • Drive ethical AI initiatives and responsible innovation frameworks
  • Secure $5M+ in government/industry research grants annually
  • Mentor PhD researchers and guide strategic research roadmaps

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years post-doctoral experience
  • Published record in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record of securing research funding ($1M+ preferred)
  • Strong programming skills in Python, PyTorch, and distributed computing
  • Experience with ethical AI governance frameworks and bias mitigation
  • Ability to translate complex research into commercial applications
  • Thought leadership in AI safety and alignment research

Required Skills

Machine Learning Deep Learning Quantum Computing Reinforcement Learning PyTorch Research Ethics AI Safety Neural Networks Python

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