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Senior AI Architect - 2026 Vision

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a technological singularity. Quantum Horizon Labs is seeking a visionary Senior AI Architect to lead our 2026 R&D initiatives. You won't just be coding; you will be defining the neural architecture of tomorrow.

In this role, you will spearhead the development of next-generation generative models and autonomous systems designed to solve complex global challenges. If you are driven by the potential of artificial general intelligence and want to leave a legacy in the 2026 technological landscape, this is your opportunity.

Why join us?

  • Work on cutting-edge AI infrastructure.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable neural network architectures tailored for the 2026 computational paradigm.
  • Model Optimization: Lead efforts in reducing inference latency and improving model accuracy for real-time applications.
  • R&D Leadership: Conduct deep research into novel algorithms, focusing on reinforcement learning and causal inference.
  • Team Mentorship: Guide junior engineers and data scientists in best practices for AI model training and deployment.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a senior architectural role.
  • Technical Skills: Proficiency in Python, C++, and deep learning frameworks such as PyTorch or TensorFlow.
  • Innovation: Demonstrated history of publishing papers in top-tier AI conferences (NeurIPS, ICML, etc.) or shipping high-impact products.
  • Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and optimize large-scale data pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Neural Networks Cloud Architecture Kubernetes Docker CUDA Reinforcement Learning Data Pipelines

Ready to Take This Challenge?

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