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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior 2026 AI & Neural Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the Future of Intelligence. Nexus Horizon Labs is at the forefront of preparing the digital infrastructure for the year 2026. We are looking for a visionary Senior 2026 AI & Neural Architect to lead the design and deployment of next-generation machine learning systems that will define the era of autonomous intelligence. You will bridge the gap between theoretical AI models and practical, scalable engineering solutions.

Why Join Us? We offer a competitive compensation package, equity opportunities, and the chance to work on projects that are shaping the trajectory of human-computer interaction.

Responsibilities

  • Architect Next-Gen Systems: Design robust, scalable neural network architectures tailored for high-volume, low-latency environments required in 2026.
  • Future-Proofing Code: Write maintainable, efficient, and future-proof code using cutting-edge frameworks and methodologies.
  • AI Ethics & Governance: Spearhead initiatives to ensure AI deployment is ethical, transparent, and compliant with global standards.
  • Cross-Functional Leadership: Collaborate with quantum computing researchers, data scientists, and product managers to integrate AI into core platforms.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Continuously monitor and optimize model performance to meet the rigorous demands of enterprise applications.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a senior leadership role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern cloud infrastructure (AWS, GCP, or Azure).
  • Algorithmic Expertise: Deep understanding of deep learning, NLP, and reinforcement learning algorithms.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative technical solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS GCP NLP Neural Networks System Architecture

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