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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
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an innovative AI Research Scientist to develop cutting-edge artificial intelligence systems that will redefine industries. In this pivotal role, you'll collaborate with world-class researchers to create breakthrough algorithms and frameworks that address humanity's most pressing challenges.

Our San Francisco hub offers state-of-the-art facilities, competitive benefits, and a culture that values intellectual curiosity and disruptive thinking. You'll work on projects spanning quantum AI integration, ethical machine learning frameworks, and autonomous system optimization – all designed to shape the technological landscape of the near future.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead research initiatives in quantum-computing-enhanced machine learning algorithms
  • Develop ethical AI frameworks ensuring responsible deployment in 2026+ applications
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier journals and present at industry conferences
  • Mentor junior researchers and contribute to our innovation pipeline
  • Secure research funding through grant applications and industry partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Proven expertise in deep learning architectures (transformers, GNNs, diffusion models)
  • Strong publication record in NeurIPS/ICML/ICLR or equivalent venues
  • Familiarity with quantum computing principles and hybrid AI-quantum systems
  • Experience with large-scale distributed computing frameworks (PyTorch, TensorFlow)
  • Demonstrated ability to translate theoretical research into practical applications
  • Commitment to ethical AI development and responsible innovation principles

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing Ethical AI Autonomous Systems PyTorch TensorFlow Scientific Publishing

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