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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus AI Labs at the forefront of artificial intelligence innovation. We're pioneering breakthroughs in generative AI, quantum computing, and human-computer interfaces to shape the technological landscape of 2026 and beyond. As an AI Research Scientist, you'll collaborate with world-class engineers to develop scalable solutions that redefine industry standards. Our state-of-the-art facility in San Francisco's Tech District offers unparalleled resources for turning ambitious research into tangible products.

Responsibilities

  • Design and implement novel machine learning architectures for next-generation AI systems
  • Lead cross-functional projects integrating quantum algorithms with classical neural networks
  • Publish peer-reviewed research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Develop proprietary frameworks for multimodal AI processing across text, audio, and visual data
  • Mentor junior researchers and foster collaborative innovation within the lab
  • Translate theoretical breakthroughs into production-ready prototypes
  • Stay current with emerging AI regulations and ethical frameworks for 2026 deployment

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, or generative models
  • Publication record at top-tier AI conferences or equivalent industry impact
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in computational theory and algorithm optimization
  • Experience with quantum computing APIs or hardware acceleration
  • Demonstrated ability to translate complex research into practical applications
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Quantum Computing PyTorch Research Generative AI Multimodal AI

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