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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer next-generation AI systems. We seek an AI Research Scientist to architect breakthrough solutions that will redefine industries. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with world-class experts in a collaborative, innovation-driven environment.

Our team is developing transformative AI applications for healthcare, climate modeling, and autonomous systems. You'll contribute to cutting-edge research in neural networks, quantum machine learning, and ethical AI frameworks. We provide competitive benefits, flexible work arrangements, and a culture that values curiosity and bold thinking.

Responsibilities

  • Lead research initiatives in advanced AI algorithms and neural network architectures
  • Develop and implement scalable machine learning solutions for complex real-world problems
  • Collaborate with cross-functional teams to integrate AI innovations into production systems
  • Publish research in top-tier AI conferences and journals
  • Mentor junior researchers and foster a culture of scientific excellence
  • Stay current with emerging AI trends and ethical considerations

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience in applied AI/ML with publication record
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, GCP)
  • Strong programming skills in Python and C++
  • Proven ability to translate research into practical applications
  • Experience with large-scale data processing and distributed computing
  • Demonstrated understanding of AI ethics and responsible AI principles

Required Skills

AI Research Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Python C++ AWS GCP Data Science Quantum Computing

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