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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Step into the future with Nexus Innovations as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to join our elite team in San Francisco, where you'll develop transformative machine learning models that redefine industries. Our state-of-the-art labs offer unparalleled resources to explore neural networks, generative AI, and quantum computing applications. Enjoy competitive compensation, flexible work arrangements, and the opportunity to shape the next technological revolution.

This role combines deep technical expertise with strategic innovation. You'll collaborate with Nobel laureates and industry disruptors while solving challenges in autonomous systems, personalized medicine, and sustainable energy. If you're ready to push the boundaries of artificial intelligence, we want you on our mission to build a smarter tomorrow.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and generative AI architectures
  • Develop novel algorithms for autonomous decision-making systems
  • Collaborate with cross-functional teams to integrate AI solutions into production environments
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and foster innovation through hackathons and tech talks
  • Translate theoretical models into scalable, production-ready implementations
  • Secure patents for proprietary AI methodologies and systems

Qualifications

  • PhD in Computer Science, AI, or related field from Tier 1 institution
  • 5+ years of experience in advanced ML research with 3+ publications in top-tier venues
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record in quantum computing or neuromorphic systems
  • Strong mathematical foundation in linear algebra, calculus, and information theory
  • Experience with MLOps and deploying models at scale (AWS/GCP/Azure)
  • Demonstrated ability to secure research grants and industry partnerships

Required Skills

Quantum Computing Generative AI TensorFlow PyTorch MLOps Neural Networks Research Publication Distributed Systems

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