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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological innovation as we pioneer breakthroughs in artificial intelligence for 2026. We're seeking visionary AI Research Scientists to develop next-generation autonomous systems, quantum-optimized machine learning models, and ethical AI frameworks that will shape humanity's future. Collaborate with world-class researchers in our state-of-the-art Silicon Valley facility, where your work will directly impact global industries from healthcare to space exploration.

What You'll Achieve:

Lead cutting-edge research in unsupervised learning and neural architecture search, publish in top-tier AI conferences, and translate theoretical breakthroughs into scalable production systems. You'll have access to petabyte-scale datasets and quantum computing resources to push the boundaries of what's possible.

Responsibilities

  • Design and implement novel AI algorithms for autonomous decision-making systems
  • Develop quantum-enhanced machine learning models for real-world applications
  • Lead research initiatives in explainable AI and ethical framework development
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Author peer-reviewed publications and present findings at industry conferences
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in deep learning research with published papers at NeurIPS/ICML/ICLR
  • Expertise in transformer architectures, reinforcement learning, and distributed ML systems
  • Proficiency with PyTorch, TensorFlow, and high-performance computing environments
  • Demonstrated success in deploying ML models at scale (AWS/GCP/Azure)
  • Strong background in AI ethics and responsible AI development principles
  • Experience with quantum computing frameworks (Qiskit, Cirq) preferred

Required Skills

Deep Learning Quantum Computing Reinforcement Learning Transformer Models PyTorch TensorFlow AI Ethics Distributed Systems Research Leadership

Ready to Take This Challenge?

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