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AI Research Scientist (2026 Visionary)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation! We're seeking visionary researchers to develop groundbreaking AI systems that will define technology by 2026. Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and ethical AI design. You'll collaborate with Nobel laureates and Silicon Valley pioneers to solve humanity's most complex challenges while shaping the future of intelligent automation.

Why Nexus Labs? Our state-of-the-art facility in San Francisco features a 50-qubit quantum processor, dedicated neuro-linguistic labs, and unlimited compute resources. We offer flexible research timelines, patent ownership support, and participation in global AI summits.

Responsibilities

  • Design and implement next-generation AI architectures for autonomous systems and cognitive computing
  • Pioneer novel approaches to quantum machine learning and neural-symbolic integration
  • Lead cross-functional projects with robotics, bioinformatics, and climate modeling teams
  • Develop ethical frameworks for AI governance and bias mitigation protocols
  • Publish breakthrough research in Nature/Science journals and present at NeurIPS/ICML
  • Mentor junior researchers through our AI Academy incubator program
  • Secure $1M+ in annual research grants from DARPA and NSF partnerships

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with focus on AI/ML (or equivalent research experience)
  • 5+ years in advanced AI development with 3+ publications in top-tier venues
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
  • Demonstrated experience with large-scale distributed computing (AWS/GCP)
  • Portfolio of deployed AI systems with measurable impact metrics
  • Strong background in AI ethics and responsible AI principles
  • Ability to secure external research funding through grant writing

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Reinforcement Learning Research Ethics AI Governance Large Language Models

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