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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering next-generation AI solutions that will redefine human-machine interaction. As a key member of our research team, you'll collaborate with world-class scientists to develop transformative algorithms in quantum computing, neural networks, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources, including dedicated quantum labs and GPU supercomputers. We offer competitive equity packages, unlimited PTO, and comprehensive wellness programs. Help us build the future today.

Responsibilities

  • Lead cutting-edge research in generative AI and quantum machine learning
  • Design and implement novel neural architectures for real-time decision-making
  • Collaborate with engineering teams to deploy research prototypes at scale
  • Publish findings in top-tier journals and present at global conferences
  • Mentor junior researchers and drive cross-functional innovation
  • Secure patents for breakthrough AI methodologies
  • Analyze emerging quantum computing applications for enterprise solutions

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years in AI/ML research with proven publications in NeurIPS/ICML/ICLR
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum programming languages
  • Strong background in reinforcement learning and generative models
  • Experience with high-performance computing environments and distributed systems
  • Demonstrated ability to translate research into production-ready solutions
  • Excellent communication skills with ability to articulate complex concepts to stakeholders
  • Portfolio of open-source contributions or industry-impacting projects

Required Skills

Machine Learning Deep Learning Quantum Computing PyTorch TensorFlow Reinforcement Learning Generative AI Neural Networks High-Performance Computing

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