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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-computer interaction. As our AI Research Scientist, you'll collaborate with Nobel laureates and Turing Award winners to develop breakthrough neural networks and quantum computing algorithms. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including a 10,000-qubit quantum cluster and exascale computing infrastructure. We offer competitive equity packages, flexible remote work options, and a comprehensive wellness program. This role represents your opportunity to shape the future of artificial intelligence.

Responsibilities

  • Lead R&D initiatives for advanced generative AI models with 2026 capabilities
  • Develop novel quantum machine learning algorithms for computational breakthroughs
  • Collaborate with cross-functional teams to integrate AI solutions into production systems
  • Publish research in top-tier journals and present at global AI conferences
  • Mentor junior researchers and contribute to patent development
  • Establish ethical frameworks for AI deployment in critical infrastructure
  • Drive innovation in neuromorphic computing and brain-inspired architectures

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 5+ years of experience in AI research with peer-reviewed publications
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Proven track record of developing production-scale AI systems
  • Strong mathematical background in linear algebra, calculus, and information theory
  • Experience with distributed computing and high-performance clusters
  • Excellent communication skills with ability to translate complex concepts
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Ethics High-Performance Computing

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