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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
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of artificial intelligence development. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine industries by 2026. Collaborate with world-class teams in our state-of-the-art San Francisco lab to transform theoretical concepts into scalable solutions.

About Nexus Innovations: We're a cutting-edge tech startup specializing in quantum machine learning and autonomous systems. Our mission? To create ethical AI that augments human potential while solving global challenges in healthcare, climate science, and space exploration.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead cross-functional research projects in quantum computing and neural networks
  • Publish groundbreaking findings in top-tier AI conferences and journals
  • Develop scalable prototypes for real-world deployment in enterprise environments
  • Mentor junior researchers and foster collaborative innovation
  • Secure and manage research partnerships with academic institutions
  • Ensure ethical AI development practices and bias mitigation

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Published research in NeurIPS, ICML, or comparable venues
  • Expertise in quantum computing algorithms or distributed training systems
  • Proficiency in Python, C++, and high-performance computing environments
  • Strong background in computer vision or NLP for real-time applications
  • Proven track record of translating research into production-ready solutions

Required Skills

Machine Learning Deep Learning Quantum Computing Python TensorFlow PyTorch Computer Vision NLP Research Ethics

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