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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

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

Job Description

Are you ready to shape the future of technology in 2026? Nexus Horizon is seeking a visionary Senior AI Research Engineer to lead our next-generation artificial intelligence initiatives.

As we approach the pivotal year of 2026, we are building the foundational models that will redefine human-machine interaction. You will work at the intersection of deep learning, ethics, and scalable architecture. Join a team of elite engineers and scientists dedicated to pushing the boundaries of what is possible.

Why Join Us?

  • Work on cutting-edge LLMs and generative models.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with office hubs in SF.

We are looking for a pioneer who thrives in ambiguity and is driven by the prospect of defining the AI landscape for the next decade.

Responsibilities

  • Lead Research: Spearhead the development of novel neural architectures designed for the 2026 technological landscape.
  • Model Optimization: Optimize large-scale models for inference speed and energy efficiency.
  • Collaborate: Partner with product teams to translate research into deployable, high-impact applications.
  • Ethical AI: Ensure all models adhere to rigorous safety and bias mitigation standards.
  • Publication: Author high-impact papers for top-tier conferences (NeurIPS, ICML).

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in deep learning and machine learning.
  • Tools: Proficiency in Python, PyTorch, or TensorFlow.
  • Domain: Strong background in Natural Language Processing (NLP) or Computer Vision.
  • Language: Excellent verbal and written communication skills.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning AI Research Neural Networks

Ready to Take This Challenge?

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