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Information Technology 🏒 Full Time ⭐️ Verified

2026 Architect: Senior AI & Neural Network Engineer

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are pioneering the technological infrastructure for the year 2026. As the world shifts towards autonomous systems and advanced generative AI, we need a visionary Architect to lead our core R&D division. You won't just be writing code; you will be defining the cognitive architecture of the machines of tomorrow.

Why join us? We offer competitive equity packages, a remote-first culture, and the opportunity to shape the trajectory of human-AI symbiosis.

Responsibilities

  • Design and implement scalable neural network architectures for autonomous decision-making systems.
  • Lead the migration of legacy data infrastructure to quantum-ready storage solutions.
  • Collaborate with cross-functional teams to integrate 2026 vision AI into consumer products.
  • Optimize model inference speeds to support real-time edge computing.
  • Define ethical guidelines and safety protocols for advanced AI agents.
  • Conduct research on emergent AI behaviors and predictive modeling.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, or a related field.
  • 7+ years of experience in Deep Learning and Machine Learning engineering.
  • Expert proficiency in Python, TensorFlow, and PyTorch.
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Proven track record of publishing research in top-tier AI conferences (NeurIPS, ICML).

Required Skills

Python Machine Learning Neural Networks Deep Learning NLP TensorFlow PyTorch AWS Docker Kubernetes AI Ethics Cloud Computing

Ready to Take This Challenge?

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