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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Architect: Future Tech 2026

Synthetix Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the future. Join our elite team in San Francisco as an AI/ML Architect: Future Tech 2026.


At Synthetix Labs, we are not just coding for today; we are architecting the intelligence layer for the year 2026 and beyond. We are looking for visionaries to push the boundaries of Artificial General Intelligence (AGI) and next-generation neural interfaces. In this role, you will define the architectural standards for our upcoming generation of autonomous systems.


You will work at the intersection of theoretical research and practical engineering, ensuring our AI solutions are scalable, secure, and revolutionary.


Why Join Us?

• Work on cutting-edge technology that will define the next decade.

• Competitive compensation and equity packages.

• Flexible remote-first hybrid work environment.

• Access to top-tier computing resources and research libraries.


If you are ready to shape the trajectory of technology in 2026, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models for the 2026 infrastructure.
  • Lead research into quantum-resistant encryption and neural rendering technologies.
  • Collaborate with cross-functional teams to integrate AI into next-generation consumer products.
  • Optimize deep learning pipelines for real-time, high-volume data processing.
  • Establish ethical guidelines and bias mitigation strategies for autonomous agents.
  • Stay ahead of industry trends in generative AI and predictive modeling.

Qualifications

  • Ph.D. or Master's in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning and deep learning frameworks.
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Strong experience with Large Language Models (LLMs) and Generative AI.
  • Deep understanding of ethical AI principles and responsible AI deployment.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) is a plus.

Required Skills

Python PyTorch Machine Learning Deep Learning AI Architecture TensorFlow Cloud Computing Data Science Generative AI Neural Networks

Ready to Take This Challenge?

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

Apply Now

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