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AI Research Scientist (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Shape the future of artificial intelligence at Nexus Innovations. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine industries by 2026. Join our elite team of innovators working on next-generation neural networks, quantum-ML hybrids, and ethical AI frameworks. Enjoy unparalleled resources, collaborative research labs, and the opportunity to publish groundbreaking research in top-tier journals.

Our culture combines Silicon Valley's energy with academic rigor, offering competitive compensation, equity, and flexible work arrangements. Be at the forefront of AI innovation that impacts billions.

Responsibilities

  • Lead cutting-edge research in generative AI, federated learning, and explainable AI systems
  • Develop novel algorithms for 2026-era applications (autonomous systems, bio-AI, climate modeling)
  • Collaborate with engineering teams to prototype and deploy research prototypes
  • Author high-impact publications and patents in AI/ML domains
  • Mentor junior researchers and present findings at industry conferences
  • Ensure ethical AI development frameworks are implemented in all projects
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in AI research with 3+ publications at NeurIPS/ICML/ICLR
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
  • Proven track record of translating research into production systems
  • Strong background in mathematics (linear algebra, calculus, probability)
  • Experience with quantum computing or neuromorphic hardware is highly desirable
  • Demonstrated passion for ethical AI and societal impact

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Research Neural Networks Quantum Computing Ethics Generative AI

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