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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
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Innovations at the forefront of 2026's AI revolution. We're pioneering quantum-entangled neural networks that redefine machine intelligence. As an AI Research Scientist, you'll architect breakthrough systems for autonomous decision-making, predictive analytics, and generative AI applications. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into industry-defining innovations.

Why Nexus? We provide competitive equity packages, flexible hybrid work arrangements, and access to our exclusive AI Innovation Lab. Shape the future of artificial intelligence while enjoying comprehensive benefits including wellness stipends and professional development funds.

Responsibilities

  • Design and implement advanced neural architectures for next-gen AI systems
  • Lead research in quantum machine learning and multi-agent reinforcement learning
  • Develop novel algorithms for unsupervised learning and generative adversarial networks
  • Collaborate with cross-functional teams to integrate AI solutions into production environments
  • Publish research in top-tier conferences and contribute to open-source AI frameworks
  • Mentor junior researchers and foster innovation through internal hackathons

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in AI research with publications in NeurIPS/ICML/ICLR
  • Expertise in PyTorch, TensorFlow, and distributed computing frameworks
  • Strong mathematical foundation in linear algebra, calculus, and probability theory
  • Proven track record of deploying AI systems at scale in production environments
  • Experience with quantum computing concepts and quantum machine learning
  • Excellent communication skills with ability to translate complex concepts for diverse audiences

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python PyTorch TensorFlow Research Data Science

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