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Senior Artificial Intelligence Engineer

Nebula Intelligence Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

We are seeking a visionary Senior Artificial Intelligence Engineer to join our elite team at Nebula Intelligence Systems. If you are passionate about pushing the boundaries of Generative AI and Large Language Models, this is your chance to shape the future of technology.


In this role, you will architect, train, and deploy state-of-the-art AI systems that solve complex global challenges. We offer a competitive compensation package, equity opportunities, and a remote-first culture that empowers creativity.


Why Join Nebula Intelligence Systems?

  • Work on cutting-edge AI infrastructure used by millions.
  • Competitive salary and equity package.
  • Flexible remote-first work environment.
  • Continuous learning and development opportunities.

Responsibilities

  • Model Development: Design, train, and fine-tune advanced machine learning models using Python, PyTorch, and TensorFlow.
  • Architecture Design: Lead the architectural design of scalable AI systems and data pipelines.
  • Research: Conduct cutting-edge research to improve model accuracy, efficiency, and interpretability.
  • Deployment: Oversee the deployment of models to production environments using MLOps best practices.
  • Collaboration: Partner with cross-functional teams including product managers, data scientists, and engineers.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Technical Skills: Proficiency in Python, C++, or Java; strong knowledge of NLP and Computer Vision.
  • Tools: Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
  • Problem Solving: Exceptional analytical skills with a track record of delivering innovative solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes Generative AI LLMs

Ready to Take This Challenge?

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