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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Research Scientist - 2026 Vision

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

We are seeking a visionary Principal AI Research Scientist to lead our initiatives in defining the technological landscape for 2026 and beyond. In this high-impact role, you will spearhead the development of next-generation artificial intelligence architectures that will revolutionize industry standards. If you are passionate about pushing the boundaries of what is possible in machine learning and have a clear vision for the future, we want to hear from you.

Our mission is to build the infrastructure for tomorrow, ensuring our solutions are scalable, ethical, and transformative. You will work closely with cross-functional teams of engineers, product managers, and strategists to translate theoretical research into real-world applications.

Responsibilities

  • Lead high-level research initiatives focused on Agentic AI and Neuromorphic computing paradigms.
  • Design and implement novel deep learning architectures for large-scale data processing.
  • Mentor and guide a team of junior data scientists and machine learning engineers.
  • Publish cutting-edge papers and present findings at top-tier international conferences.
  • Collaborate with product teams to integrate advanced AI models into production environments.
  • Establish ethical guidelines and bias mitigation strategies for AI deployment.
  • Stay ahead of industry trends to ensure our technology roadmap remains competitive.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Mathematics, or a related quantitative field.
  • 10+ years of experience in applied research and machine learning engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of publishing in peer-reviewed journals or conferences.
  • Strong leadership skills with experience managing technical teams.
  • Experience with cloud platforms (AWS, GCP, or Azure) and distributed systems.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Research R&D Leadership NLP Computer Vision

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