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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
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer AI systems that will redefine industries by 2026. We seek visionary AI Research Scientists to develop breakthrough algorithms in machine learning, quantum computing, and neural networks. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley hub, where your work will directly shape the next generation of intelligent automation.

Why Nexus? We offer unparalleled R&D resources, flexible remote work options, and equity packages for top-tier talent. Our cross-functional teams work on projects ranging from climate modeling to personalized medicine, ensuring your impact spans global challenges.

Responsibilities

  • Design and implement novel machine learning architectures for next-gen AI systems
  • Lead research initiatives in quantum machine learning and autonomous decision-making
  • Publish findings in top-tier journals (NeurIPS, ICML) and present at industry conferences
  • Collaborate with engineering teams to prototype research concepts into scalable solutions
  • Mentor junior researchers and foster innovation through internal hackathons
  • Secure federal and private research grants for emerging AI domains

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Published record in top-tier AI/ML conferences or journals
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing
  • Strong programming skills in Python, C++, and high-performance computing
  • Proven ability to translate theoretical research into practical applications
  • Experience with large-scale distributed systems and GPU acceleration
  • Demonstrated impact on at least one commercial AI product or research platform

Required Skills

Machine Learning Deep Learning Quantum Computing Python PyTorch TensorFlow Research Algorithms Distributed Systems

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