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Senior AI Research Engineer - The 2026 Horizon

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Horizon Systems is seeking a visionary Senior AI Research Engineer to spearhead our initiatives leading up to the technological breakthrough of 2026.

In this role, you will not just implement existing solutions; you will architect the foundational algorithms that will power the next generation of intelligent systems. We are looking for a pioneer who thrives in ambiguity and is driven by the challenge of solving problems that don't yet have answers.

Why join us?

  • Work on projects that shape the definition of AI by 2026.
  • Competitive compensation package with equity options.
  • Collaborate with world-class engineers and futurists.
  • Flexible remote and hybrid work policies.

Responsibilities

  • Design and implement cutting-edge machine learning models and algorithms aimed at achieving AGI readiness by 2026.
  • Lead the research and development of scalable AI infrastructure, optimizing for performance and energy efficiency.
  • Collaborate with cross-functional teams to translate theoretical research into deployable production solutions.
  • Conduct rigorous experimentation and data analysis to validate new model architectures and training methodologies.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Stay ahead of the curve on emerging trends in AI, quantum computing, and neural networks.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Physics, or a related quantitative field.
  • 8+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Extensive expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or leading open-source AI projects.
  • Strong understanding of Large Language Models (LLMs), Reinforcement Learning, or Generative Adversarial Networks.
  • Demonstrated leadership experience in technical teams and project management.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Reinforcement Learning Research Architecture Leadership

Ready to Take This Challenge?

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