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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Architect – 2026 Visionary Initiative

Nebula Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Nebula Core Systems is pioneering the next generation of autonomous intelligence. We are seeking a visionary AI/ML Architect to lead the technical roadmap for our 2026 flagship product, "The Synapse Engine."

If you thrive in a high-velocity environment and want to define the standards for the future of computing, we want to hear from you.

About the Role

In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment. You will be responsible for architecting scalable machine learning pipelines, integrating quantum-ready algorithms, and mentoring a team of elite engineers.

Why join Nebula Core?

  • Work on projects that define the trajectory of AI through 2026.
  • Competitive compensation package and equity options.
  • Flexible remote/hybrid work model.

Responsibilities

  • System Architecture: Design and implement robust, scalable AI infrastructure capable of processing petabytes of data in real-time.
  • Model Optimization: Lead the R&D for next-gen model compression and edge-device deployment strategies.
  • Technical Leadership: Mentor junior architects and engineers, conducting code reviews and architectural design sessions.
  • Future-Proofing: Evaluate emerging technologies (e.g., Neuromorphic computing) to ensure our stack remains cutting-edge.
  • Collaboration: Partner with product managers and data scientists to translate business requirements into technical blueprints.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Kubernetes.
  • Cloud Mastery: Deep understanding of AWS, Azure, or Google Cloud Platform architecture.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.

Required Skills

Machine Learning Deep Learning Python Kubernetes AWS Azure System Architecture AI Strategy Python TensorFlow PyTorch

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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