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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to architect the next generation of intelligent systems that will redefine human-machine interaction. This role offers unparalleled opportunities to collaborate with Nobel laureates and disrupt industries through quantum-encrypted neural networks.

Our San Francisco campus features state-of-the-art labs, unlimited wellness stipends, and a culture where 20% of time is dedicated to moonshot projects. Shape the future while enjoying competitive equity, flexible schedules, and relocation assistance for global talent.

Responsibilities

  • Lead breakthrough research in generative AI and autonomous systems with 5+ year impact roadmaps
  • Develop novel algorithms for quantum-secure machine learning frameworks
  • Collaborate with cross-disciplinary teams to deploy AI solutions in healthcare and climate tech
  • Publish 2+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers while maintaining 90%+ model accuracy benchmarks
  • Drive ethical AI initiatives through our proprietary 'Responsible Innovation' framework

Qualifications

  • PhD in Computer Science/AI with 5+ years industry experience
  • Published research in NeurIPS/ICML/ICLR with 1000+ citations
  • Expertise in transformer architectures and reinforcement learning
  • Proficiency in PyTorch/TensorFlow with quantum computing exposure
  • Track record of deploying production-scale AI systems at FAANG or equivalent
  • Strong background in differential privacy and federated learning
  • Experience securing $1M+ in government or corporate research grants

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research Ethics Leadership

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