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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Leading the 2026 Vision

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

The Future is Now. Nebula Dynamics is on a mission to redefine what's possible in the year 2026. We are seeking a visionary Senior AI Architect to spearhead our cutting-edge research and development division. If you are passionate about building the foundational models that will power the next generation of intelligent systems, we want to hear from you.


You will be working in a high-performance environment where you have the autonomy to experiment, innovate, and lead the charge toward a smarter future. Join us in shaping the trajectory of technology.

Responsibilities

  • Lead the 2026 Strategic AI Roadmap: Define and execute the technical vision for our upcoming product releases, ensuring alignment with long-term business goals.
  • Architect Scalable ML Systems: Design and deploy robust machine learning infrastructure capable of handling petabyte-scale data and real-time inference.
  • Research & Development: Push the boundaries of Natural Language Processing (NLP) and Computer Vision, publishing research papers and open-sourcing key algorithms.
  • Model Optimization: Improve model accuracy and reduce latency through advanced fine-tuning and distributed computing techniques.
  • Technical Mentorship: Lead a team of talented engineers and data scientists, conducting code reviews and fostering a culture of continuous learning.
  • Cross-Functional Collaboration: Partner with product managers and engineers to translate complex AI concepts into user-friendly applications.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: Minimum of 7+ years of experience in machine learning engineering or applied research.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep Learning: Strong foundation in deep learning architectures (Transformers, CNNs, RNNs).
  • Cloud Expertise: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with data-driven solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP Docker Kubernetes

Ready to Take This Challenge?

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