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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Tech

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to shape the future of human-computer interaction and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to pioneer breakthroughs in quantum machine learning and neural interface technologies.

What you'll achieve: Lead cross-functional teams in developing next-generation AI architectures, publish groundbreaking research in top-tier journals, and collaborate with industry giants to commercialize innovations that will redefine industries by 2026.

Responsibilities

  • Design and implement novel deep learning architectures for quantum computing environments
  • Lead research initiatives in neural interface development and brain-computer integration
  • Develop ethical frameworks for autonomous decision-making systems
  • Collaborate with robotics teams to create adaptive AI-human collaboration protocols
  • Translate theoretical models into production-ready solutions with measurable impact
  • Mentor junior researchers and publish findings in IEEE/ACM journals
  • Secure patents for proprietary AI methodologies and architectures

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in quantum machine learning and transformer architectures
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit)
  • Strong background in ethics and responsible AI development
  • Experience with neuromorphic computing and brain-inspired models
  • Track record of commercializing AI research products
  • Excellent communication skills for technical and non-technical audiences

Required Skills

AI Research Quantum Computing Deep Learning Neural Interfaces Machine Learning Robotics Ethics PyTorch TensorFlow Qiskit

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