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Senior AI Research Scientist - Future Tech (2026)

Horizon Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Horizon Nexus is seeking a visionary Senior AI Research Scientist to lead our cutting-edge initiatives defining the trajectory of technology for the year 2026 and beyond.

In this pivotal role, you will not just build models; you will define the architecture of tomorrow. We are pushing the boundaries of Generative AI, Quantum-ML integration, and autonomous decision-making systems. If you are passionate about solving the hardest problems in Artificial General Intelligence (AGI) and want to leave a lasting impact on the industry, we want to hear from you.

Why join us?

  • Work on high-impact projects with a world-class team.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Lead the research and development of next-generation neural architectures aimed at the 2026 technological roadmap.
  • Architect scalable, secure, and efficient machine learning systems that integrate quantum computing principles.
  • Collaborate with cross-functional teams to translate theoretical research into production-ready AI solutions.
  • Publish high-impact research papers and contribute to open-source communities to establish industry thought leadership.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
  • Identify emerging AI trends and evaluate their potential applicability to Horizon Nexus products.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of professional experience in machine learning research, deep learning, or a related technical field.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, ACL, etc.).
  • Experience with Large Language Models (LLMs), Transformers, or Reinforcement Learning.
  • Excellent problem-solving skills and the ability to work independently in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Research AI SQL Agile Leadership

Ready to Take This Challenge?

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