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Principal AI Engineer: Project 2026

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

Job Description

Shape the Future with Project 2026

Nebula Horizon AI is pioneering the next generation of autonomous intelligence. We are looking for a visionary Principal AI Engineer to lead our flagship initiative, Project 2026. This is not just a job; it is an opportunity to define the technological landscape of the coming decade.

In this role, you will architect the core neural architectures that will power our products through 2026 and beyond. You will work in a high-performance environment, collaborating with top-tier researchers and engineers to push the boundaries of Generative AI, Reinforcement Learning, and Quantum-Enhanced Computing.

Why Join Us?
- Work on cutting-edge technology that defines the 2026 roadmap.
- Competitive equity and compensation packages.
- Fully remote-first culture with global hubs.

Responsibilities

  • Define and execute the technical vision for Project 2026, ensuring scalability and innovation.
  • Lead the research and development of proprietary Large Language Models (LLMs) and multimodal AI systems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Collaborate with product leadership to translate business goals into robust AI engineering solutions.
  • Optimize model inference latency and reduce computational costs for edge deployment.
  • Stay ahead of industry trends, specifically focusing on AI advancements relevant to the 2026 timeline.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
  • 10+ years of experience in machine learning, deep learning, or a similar technical field.
  • Proven track record of leading technical teams and managing complex engineering projects.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong understanding of neural network architectures, transformer models, and reinforcement learning.
  • Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Project 2026 Distributed Systems Reinforcement Learning NLP

Ready to Take This Challenge?

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