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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to transform cutting-edge research into real-world applications that will define the next decade. Our collaborative environment empowers you to work on groundbreaking projects in quantum machine learning, autonomous systems, and ethical AI frameworks.

As part of our elite research division, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley campus. We offer unparalleled resources, including quantum computing clusters and petabyte-scale datasets, to accelerate your breakthroughs.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead quantum machine learning research projects with real-world deployment potential
  • Develop ethical AI frameworks ensuring responsible technological advancement
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Collaborate with product teams to translate research into scalable solutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Proven track record of publishing in NeurIPS, ICML, or equivalent venues
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with large-scale distributed computing and GPU optimization
  • Demonstrated ability to translate research into production-ready solutions
  • Passion for ethical AI development and responsible innovation

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Reinforcement Learning PyTorch TensorFlow Distributed Systems Ethics in AI

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