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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
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Step into the future with Nexus Innovations, where we're pioneering the next wave of artificial intelligence. We're seeking a visionary AI Research Scientist to join our elite team in San Francisco and help shape the technological landscape of 2026. This is your opportunity to work on groundbreaking projects that will redefine industries and solve humanity's most complex challenges.

As part of our cutting-edge research division, you'll collaborate with Nobel laureates and industry pioneers to develop transformative AI systems. We offer unparalleled resources, a culture of relentless innovation, and the chance to leave your mark on the next decade of technological advancement. Join us in building tomorrow, today.

Responsibilities

  • Design and implement advanced machine learning models for autonomous systems
  • Lead research initiatives in quantum AI and neural network optimization
  • Develop ethical frameworks for next-generation AI deployment
  • Collaborate with cross-functional teams to integrate AI solutions into production
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and foster innovation within the lab
  • Secure patents and intellectual property for novel AI methodologies

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years of research experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and quantum computing
  • Proven track record of developing production-level AI systems
  • Strong publication record in NeurIPS, ICML, or equivalent venues
  • Experience with large-scale distributed computing and GPU acceleration
  • Demonstrated ability to translate research into commercial applications
  • Proficiency in Python, C++, and high-performance computing environments

Required Skills

Machine Learning Deep Learning Quantum Computing TensorFlow PyTorch Neural Networks Distributed Computing AI Ethics

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