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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Engineer - 2026 Initiative

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to shape the future of technology in 2026? We are looking for a visionary Principal AI Engineer to lead our cutting-edge Project 2026 initiative. This role is at the forefront of Generative AI, focusing on scalable, ethical, and high-performance neural architectures designed to redefine human-computer interaction.

We are not just building software; we are architecting the infrastructure for the next decade. As a key leader in the 2026 roadmap, you will have the autonomy to define technical strategy and mentor the brightest minds in the industry.

Responsibilities

  • Architect and implement the core neural network architecture for the 2026 strategic roadmap.
  • Lead a team of top-tier data scientists and ML engineers in developing next-gen Large Language Models (LLMs).
  • Optimize inference pipelines to ensure sub-millisecond latency for real-time applications.
  • Collaborate with cross-functional teams to define product requirements for the 2026 launch cycle.
  • Ensure model robustness, fairness, and compliance with emerging AI regulations.
  • Drive technical innovation and stay ahead of the curve on emerging AI methodologies.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in machine learning engineering, with at least 5 years in a leadership role.
  • Deep expertise in PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale production ML systems.
  • Strong understanding of distributed systems and high-availability architecture.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

PyTorch Machine Learning Distributed Systems Python Large Language Models Neural Networks System Design

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