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Senior AI Research Scientist - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to join our elite team at Nexus Horizon Labs. As we pioneer the technological leap towards 2026, you will be at the forefront of integrating next-generation Artificial Intelligence with advanced computing architectures.

Our mission is to revolutionize the industry by deploying scalable, self-learning models that redefine human-machine interaction. If you are passionate about the bleeding edge of technology and want to shape the landscape of the future, we want to hear from you.

Responsibilities

  • Lead research initiatives focused on Artificial General Intelligence (AGI) and quantum machine learning integration.
  • Design and implement proprietary deep learning algorithms optimized for high-performance computing environments.
  • Collaborate with cross-functional engineering teams to translate theoretical research into production-ready software.
  • Conduct rigorous academic and industrial research, publishing findings in top-tier journals and conferences.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Define the technical roadmap for 2026 AI breakthroughs.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • 5+ years of proven experience in AI research, machine learning, or a related domain.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Experience with quantum computing frameworks or distributed systems is highly desirable.
  • Strong publication record in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Required Skills

Artificial Intelligence Machine Learning Python Quantum Computing Deep Learning Data Science PyTorch TensorFlow AGI Research

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