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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior Neural Architect - Nexus 2026

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Welcome to Nexus 2026, the vanguard of tomorrow's technology. We are a cutting-edge research organization dedicated to building the artificial intelligence infrastructure that will define the year 2026 and beyond. Our mission is to bridge the gap between current capabilities and the next evolution of sentient computing. We are seeking a visionary Senior Neural Architect to lead our core research team.

About The Role

In this pivotal position, you will be responsible for designing and deploying scalable neural architectures that push the boundaries of machine learning. You will work directly with our elite engineering squad to optimize deep learning models for real-time inference and massive data throughput. If you are passionate about the future of AI and want to build the systems that will power the next generation of human-machine interaction, this is your opportunity.

Responsibilities

  • Design and architect next-generation neural networks capable of handling complex, multi-modal data streams.
  • Optimize existing models for speed and accuracy, reducing latency by up to 40% on next-gen hardware.
  • Lead a team of junior data scientists and engineers in R&D initiatives focused on generative AI and reinforcement learning.
  • Collaborate with the product team to translate theoretical advancements into practical, scalable solutions.
  • Stay at the forefront of AI research, publishing papers and presenting at major industry conferences.
  • Implement rigorous testing protocols to ensure model stability and security in production environments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 8 years of professional experience in designing and deploying deep learning models.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Excellent communication skills and the ability to mentor cross-functional teams.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning CUDA Distributed Systems AWS Kubernetes Generative AI

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