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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer: 2026 Vision

Zai Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 225.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are building the infrastructure for the future. Zai Horizon is seeking a visionary Senior AI Engineer to lead our 2026 roadmap. If you are passionate about shaping the next generation of generative intelligence and autonomous systems, we want to hear from you.

In this role, you will bridge the gap between theoretical research and production-scale deployment. You will be working on cutting-edge projects involving Large Language Models (LLMs), computer vision, and reinforcement learning in complex environments.

Why join us?

  • Work with state-of-the-art hardware (NVIDIA H100 clusters).
  • Competitive equity and comprehensive benefits package.
  • Flexible remote-first culture with HQ in San Francisco.
  • Direct impact on the AI evolution of 2026 and beyond.

Responsibilities

  • Design and implement scalable machine learning pipelines for production environments.
  • Lead the architecture of our proprietary AI models, ensuring low latency and high throughput.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer products.
  • Mentor junior engineers and contribute to code reviews and technical documentation.
  • Experiment with emerging architectures such as Transformers, Diffusion models, and Graph Neural Networks.
  • Optimize models for edge deployment and resource efficiency.
  • Stay ahead of industry trends to drive innovation within the 2026 roadmap.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Deep Learning principles and algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning MLOps Docker Kubernetes NLP Computer Vision AI Architecture

Ready to Take This Challenge?

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