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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Horizon Systems Inc.
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Horizon Systems Inc. is seeking a visionary Senior AI Engineer to spearhead Project 2026. We are building the foundational algorithms that will define the technological landscape of the mid-21st century.

In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment. You will work on cutting-edge Large Language Models (LLMs) and generative adversarial networks (GANs), pushing the boundaries of what is possible in artificial intelligence.

Why Join Us?

  • Competitive compensation package ($200k - $300k base).
  • Equity participation in a unicorn startup.
  • Flexible remote-first environment with quarterly team retreats.

We are looking for a self-starter who thrives in ambiguity and is passionate about ethical AI development.

Responsibilities

  • Architect and implement scalable machine learning pipelines for real-time data processing.
  • Conduct deep research to improve model accuracy, latency, and efficiency.
  • Collaborate with cross-functional teams on ethical AI initiatives and bias mitigation.
  • Monitor model performance in production environments and implement A/B testing strategies.
  • Mentor junior engineers and contribute to code reviews within the AI engineering team.

Qualifications

  • Ph.D. or M.S. in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering or applied research.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Experience with distributed computing systems (Kubernetes, AWS/GCP) and containerization.
  • Strong understanding of Natural Language Processing (NLP) and deep learning architectures.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Kubernetes AWS Data Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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