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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Technologies at the forefront of innovation as we pioneer breakthrough AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative machine learning models that will redefine industries. Collaborate with world-class engineers in our state-of-the-art San Francisco lab, where your work will directly impact next-generation autonomous systems, quantum-optimized algorithms, and ethical AI frameworks. This is your opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement cutting-edge deep learning architectures for next-gen AI applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks ensuring bias mitigation and regulatory compliance
  • Collaborate with cross-functional teams to prototype and deploy production-ready AI systems
  • Publish research in top-tier AI/ML journals and conferences
  • Mentor junior researchers and foster innovation through internal hackathons
  • Secure research grants and patents for novel AI methodologies

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in advanced AI research with peer-reviewed publications
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in quantum computing or neuromorphic engineering preferred
  • Track record of translating research into scalable commercial solutions
  • Demonstrated ability to lead cross-disciplinary technical projects
  • Commitment to ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Python TensorFlow Quantum Computing Research AI Ethics Reinforcement Learning Generative Models

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