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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to architect breakthrough systems that will redefine human-machine interaction.

Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay, with resources including our 500-qubit quantum lab and exascale computing cluster.

Nexus Labs offers unparalleled career acceleration through our patent program, equity packages, and sabbatical opportunities. We provide comprehensive wellness benefits including mindfulness stipends and telehealth access.

Responsibilities

  • Design and implement novel AI architectures for autonomous decision-making systems
  • Lead research in quantum-enhanced machine learning algorithms
  • Develop ethical frameworks for next-generation AI governance
  • Collaborate with neuroscientists to simulate human cognition models
  • Publicate findings in Nature/Science and top-tier AI conferences
  • Mentor postdoctoral researchers in our AI incubator program
  • Secure $1M+ in annual research grants through strategic proposals

Qualifications

  • PhD in Computer Science, AI, or Computational Neuroscience (or equivalent experience)
  • 5+ years of research experience in deep learning or quantum computing
  • Published work in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in statistical modeling and Bayesian inference
  • Experience with AI ethics frameworks (e.g., EU AI Act, ACM Code)
  • Proven ability to lead cross-disciplinary research initiatives

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Statistical Modeling AI Ethics Research Leadership

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