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AI Research Engineer: 2026 Horizon | San Francisco, CA

Nexus Horizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Horizon AI is seeking a visionary AI Research Engineer to lead our cutting-edge research division. You will be at the forefront of developing the next generation of generative models, autonomous agents, and ethical AI frameworks.

Why Join Us?
Work on problems that matter. Our team is building the infrastructure for the future of human-computer interaction. We offer competitive equity, a remote-first culture, and the opportunity to publish groundbreaking research.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement novel neural network architectures and algorithms focused on scalability and efficiency for the 2026 timeframe.
  • Optimize Large Language Models (LLMs): Fine-tune and distill massive models to run efficiently on edge devices and cloud environments.
  • Research & Development: Conduct in-depth research in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning, publishing results in top-tier conferences (NeurIPS, ICML, ICLR).
  • Production Deployment: Translate theoretical research into robust, production-ready code and integrate AI solutions into our core product ecosystem.
  • Ethical AI Advocacy: Ensure all models adhere to strict fairness, transparency, and safety guidelines.
  • Mentorship: Guide junior researchers and engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Experience: 3+ years of experience in research or applied AI roles, specifically with deep learning frameworks.
  • Mathematical Foundation: Strong understanding of linear algebra, calculus, probability, and statistics.
  • Project Management: Ability to manage complex research projects from conception to deployment.
  • Communication: Exceptional written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python PyTorch TensorFlow NLP Deep Learning Machine Learning CUDA Reinforcement Learning Generative AI Ethics in AI

Ready to Take This Challenge?

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