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Senior AI Research Scientist

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Quantum Horizon is at the forefront of the 2026 AI Revolution. We are building the foundational models that will redefine human-machine interaction. We are looking for a visionary Senior AI Research Scientist to lead our advanced R&D division in San Francisco.

In this role, you will not just write code; you will architect the intelligence of tomorrow. You will work alongside world-class engineers and data scientists to push the boundaries of Generative AI, Large Language Models, and autonomous decision-making systems. If you are driven by the challenge of defining the next decade of technology, this is your stage.

Why Join Us?

  • Work on mission-critical projects with a global impact.
  • Competitive equity package and top-tier benefits.
  • State-of-the-art infrastructure and computing resources.

Responsibilities

  • Lead the research and development of novel deep learning architectures targeting deployment in 2026.
  • Design and implement scalable algorithms for large-scale data processing and model training.
  • Collaborate with product and engineering teams to translate theoretical research into production-ready applications.
  • Publish high-impact research papers and contribute to the open-source community.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous testing and validation of AI models to ensure ethical standards and performance benchmarks are met.

Qualifications

  • PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, etc.).
  • Experience with large language models (LLMs) and transformer architectures.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA GPGPU Research Algorithm Design

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