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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We seek visionary AI Research Scientists to transform theoretical concepts into breakthrough applications that will redefine industries. You'll collaborate with world-class experts in our state-of-the-art facility, leveraging cutting-edge infrastructure to develop next-generation AI systems. This role offers unparalleled opportunities to shape the future of artificial intelligence while working on projects with global impact.

Responsibilities

  • Design and implement advanced machine learning models for autonomous systems and predictive analytics
  • Lead research initiatives in generative AI, neural networks, and quantum computing applications
  • Collaborate with cross-functional teams to prototype and validate AI solutions for real-world challenges
  • Publish findings in top-tier journals and present at industry conferences
  • Develop scalable algorithms to optimize computational efficiency in large-scale data environments
  • Mentor junior researchers and contribute to the advancement of our AI research roadmap

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field with 5+ years of research experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Strong publication record in NeurIPS, ICML, or equivalent top-tier venues
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate complex theoretical concepts into practical applications
  • Experience with MLOps, model deployment, and AI ethics frameworks
  • Exceptional problem-solving skills and innovative mindset for 2026-era challenges

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neural Networks Research AI Ethics

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