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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough models for autonomous decision-making, quantum-optimized neural networks, and ethical AI frameworks. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley lab.

Our 2026 initiative focuses on developing AI systems that augment human capabilities while prioritizing transparency, fairness, and sustainability. You'll contribute to projects that will shape the future of healthcare diagnostics, climate modeling, and personalized education.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead research in explainable AI and bias mitigation techniques
  • Develop quantum-enhanced machine learning algorithms
  • Publish groundbreaking research in top-tier AI conferences
  • Collaborate with engineering teams to prototype production-ready systems
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Ensure ethical compliance in all AI development processes

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years in advanced AI research with 3+ publications in NeurIPS/ICML/ICLR
  • Expertise in transformer architectures, federated learning, and multi-agent systems
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Experience deploying models at scale (AWS/GCP/Azure)
  • Demonstrated ability to translate research into practical applications
  • Strong background in AI ethics and regulatory compliance (GDPR, EU AI Act)

Required Skills

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

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