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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

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

Job Description

Join Nexus Future Labs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs that will redefine human-machine interaction. In this role, you'll develop cutting-edge algorithms, collaborate with world-class researchers, and translate theoretical concepts into practical applications that will impact billions of lives by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources and a dynamic culture where curiosity meets purpose.

Responsibilities

  • Lead advanced research in generative AI, quantum computing integration, and neural-symbolic systems
  • Design scalable AI architectures capable of autonomous learning and ethical decision-making
  • Develop prototypes for 2026-era applications in healthcare, climate modeling, and space exploration
  • Collaborate with product teams to translate research into market-ready solutions
  • Publish findings in top-tier journals and present at global AI conferences
  • Mentor junior researchers and drive innovation through our 2026 Research Fellowship Program

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Publication record at NeurIPS, ICML, or equivalent tier-1 conferences
  • Strong background in AI ethics, explainable AI, and bias mitigation techniques
  • Experience with quantum computing APIs or neuromorphic hardware preferred
  • Ability to secure federal or corporate research grants for 2026-focused initiatives
  • Portfolio demonstrating work on long-term AI safety and alignment research

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Neural Networks Research Ethics Distributed Systems Python TensorFlow PyTorch Scientific Computing

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