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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech

Zai Corp
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Zai Corp is seeking a visionary Senior AI/ML Architect to lead our next generation of autonomous systems.

We are building the infrastructure that powers the future of intelligent workflows. In this role, you will not just implement existing models; you will pioneer novel architectures designed to solve complex problems in a rapidly evolving digital ecosystem. If you thrive in ambiguity and have a passion for pushing the boundaries of what is possible with Generative AI and Neural Networks, we want to hear from you.

Responsibilities

  • Design and implement scalable AI/ML models tailored for high-throughput environments.
  • Lead the architecture of next-generation generative AI systems with a focus on safety and accuracy.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Mentor junior engineers and establish best practices for machine learning operations (MLOps).
  • Conduct research to stay ahead of industry trends and integrate cutting-edge advancements.
  • Optimize model inference latency and resource efficiency on edge and cloud devices.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • Minimum 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience with Large Language Models (LLMs), Transformers, and RAG architectures.
  • Deep understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs Large Language Models NLP AWS Cloud Computing MLOps

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