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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine human-machine interaction. As part of our elite research division, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation neural architectures, quantum-inspired algorithms, and ethical AI frameworks. Our state-of-the-art San Francisco campus offers unparalleled resources including quantum computing clusters and neuro-interfaces.

This role is your opportunity to shape the trajectory of artificial intelligence while enjoying industry-leading compensation, flexible work arrangements, and equity in a pre-IPO unicorn. We invest heavily in your growth through our Future Forward Fellowship program covering advanced certifications and conference participation.

Responsibilities

  • Design and implement novel deep learning architectures for autonomous systems
  • Lead cross-functional projects combining quantum computing with classical AI
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Collaborate with neuromorphic engineering teams on brain-inspired computing
  • Mentor junior researchers in our NextGen AI incubator program
  • Secure patents for proprietary AI methodologies

Qualifications

  • PhD in Machine Learning, Computer Science, or Computational Neuroscience
  • 5+ years of experience in cutting-edge AI research with publication record
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated experience with quantum machine learning algorithms
  • Strong background in AI ethics and responsible AI development
  • Track record of translating research into production-scale systems

Required Skills

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

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