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Lead AI Architect - Project 2026 | San Francisco, CA

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead Project 2026, our groundbreaking initiative to redefine the boundaries of artificial general intelligence. At Nebula Systems, we don't just predict the future; we architect it. You will be at the helm of building the neural infrastructure that powers the next decade of technological evolution, working alongside world-class engineers and researchers.

In this role, you will bridge the gap between theoretical research and practical application, ensuring our systems are scalable, ethical, and robust enough for deployment in complex global environments. If you are passionate about the singularity, deep learning, and the future of human-machine interaction, this is your chance to leave a legacy.

Why join Nebula Systems?

  • Work on cutting-edge technology that shapes the world of 2026 and beyond.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art offices in San Francisco.

Responsibilities

  • Design and deploy scalable machine learning models and neural architectures for Project 2026.
  • Lead a team of data scientists and engineers to innovate on core AI algorithms.
  • Oversee the entire data pipeline, from ingestion to model training and deployment.
  • Ensure ethical AI practices and compliance with international regulations.
  • Collaborate with cross-functional teams to integrate AI solutions into broader products.
  • Mentor junior developers and foster a culture of continuous learning.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering and machine learning.
  • Proficiency in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Proven track record of leading high-impact engineering projects.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent problem-solving skills and ability to work in a fast-paced, ambiguous environment.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Deep Learning Distributed Systems NLP Computer Vision Leadership

Ready to Take This Challenge?

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