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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Engineer - Project 2026

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

About Us
We are at the forefront of the technological singularity. Nebula Horizon Labs is seeking a visionary Lead AI Engineer to spearhead the architecture for our upcoming Project 2026 initiative. If you are passionate about building the future of sentient computing and scalable neural networks, we want to hear from you.

Role Overview
In this pivotal role, you will design, build, and deploy advanced machine learning models that push the boundaries of what is possible in 2026 and beyond. You will work in a high-performance environment with top-tier talent.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 AI core infrastructure.
  • Research and develop novel algorithms to enhance deep learning model efficiency and accuracy.
  • Optimize large-scale neural networks for real-time data processing and decision-making.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams (Product, Engineering, Security) to define AI roadmaps.
  • Ensure compliance with ethical AI standards and data privacy regulations.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a focus on deep learning.
  • Proficiency in Python, TensorFlow, PyTorch, and C++.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong background in mathematics, specifically linear algebra, calculus, and statistics.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Kubernetes C++ Neural Networks Data Science

Ready to Take This Challenge?

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