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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution. As an AI Research Scientist, you'll pioneer breakthroughs in generative AI and quantum machine learning, shaping the future of human-computer interaction. Our multidisciplinary team operates at the intersection of neuroscience, computational linguistics, and autonomous systems. Enjoy unparalleled resources, flexible work arrangements, and the opportunity to publish in top-tier journals while contributing to projects that will redefine industries.

We foster a culture of intellectual curiosity and rapid experimentation, with dedicated innovation labs and partnerships with leading universities. Your work will directly impact how billions interact with technology in the coming decade.

Responsibilities

  • Design and implement novel AI architectures for next-generation natural language understanding
  • Lead quantum computing initiatives to accelerate machine learning training cycles
  • Collaborate with neuroscientists to develop brain-inspired learning algorithms
  • Publish research in top-tier conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and cross-functional engineering teams
  • Translate theoretical breakthroughs into scalable production systems
  • Drive open-source initiatives that advance the global AI community

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 3+ years of post-graduate research
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Published record in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Proficiency in Python, PyTorch, TensorFlow, and quantum computing frameworks
  • Strong background in computational linguistics and multimodal learning
  • Experience with distributed training on GPU/TPU clusters
  • Demonstrated ability to lead complex research projects from conception to deployment

Required Skills

Machine Learning Deep Learning Quantum Computing Natural Language Processing Transformers Reinforcement Learning Python PyTorch TensorFlow Distributed Systems

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